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Merge branch 'main' into feature/LlamaIndex

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# Conflicts:
#	packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts
#	packages/components/nodes/agents/ConversationalRetrievalAgent/ConversationalRetrievalAgent.ts
#	packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts
#	packages/components/nodes/agents/OpenAIFunctionAgent/OpenAIFunctionAgent.ts
#	packages/components/nodes/chains/ConversationChain/ConversationChain.ts
#	packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts
#	packages/components/nodes/memory/BufferMemory/BufferMemory.ts
#	packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts
#	packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts
#	packages/components/nodes/memory/DynamoDb/DynamoDb.ts
#	packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts
#	packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts
#	packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts
#	packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts
#	packages/components/nodes/memory/ZepMemory/ZepMemory.ts
#	packages/components/src/utils.ts
#	packages/server/marketplaces/chatflows/Long Term Memory.json
#	packages/server/src/index.ts
#	packages/server/src/utils/index.ts
This commit is contained in:
Henry
2024-01-24 03:00:31 +00:00
parent 40f8371de9 764efcccb7
commit 8189f945cc
468 changed files with 13562 additions and 3588 deletions
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packages/server/marketplaces/chatflows/API Agent.json
+1 -1
View File
@@ -936,7 +936,7 @@
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
packages/server/marketplaces/chatflows/AutoGPT.json
+44 -2
View File
@@ -511,7 +511,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -552,6 +552,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -576,7 +615,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/BabyAGI.json
+44 -2
View File
@@ -166,7 +166,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -207,6 +207,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -231,7 +270,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Chat with a Podcast.json
+22 -34
View File
@@ -13,7 +13,7 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
@@ -28,47 +28,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -89,9 +78,8 @@
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
"memory": "",
"returnSourceDocuments": "",
"systemMessagePrompt": "",
"chainOption": ""
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
@@ -625,9 +613,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Claude LLM.json
+164 -99
View File
@@ -6,15 +6,15 @@
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 451.4449437285705,
"y": 118.30026803362762
"x": 240.5161028076149,
"y": 165.35849026339048
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@@ -53,8 +53,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 451.4449437285705,
"y": 118.30026803362762
"x": 240.5161028076149,
"y": 165.35849026339048
},
"dragging": false
},
@@ -63,17 +63,17 @@
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1176.1569322079652,
"y": 303.56879146735974
"x": 958.9887390513221,
"y": 318.8734467468765
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"label": "Conversation Chain",
"version": 2,
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
@@ -82,15 +82,17 @@
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"description": "If Chat Prompt Template is provided, this will be ignored",
"additionalParams": true,
"optional": true,
"placeholder": "You are a helpful assistant that write codes",
"default": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"placeholder": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"id": "conversationChain_0-input-systemMessagePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationChain_0-input-model-BaseChatModel"
@@ -102,27 +104,26 @@
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"label": "Chat Prompt Template",
"name": "chatPromptTemplate",
"type": "ChatPromptTemplate",
"description": "Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable",
"optional": true,
"list": true,
"id": "conversationChain_0-input-document-Document"
"id": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
}
],
"inputs": {
"model": "{{chatAnthropic_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": ["{{pdfFile_0.data.instance}}"],
"systemMessagePrompt": ""
"chatPromptTemplate": "{{chatPromptTemplate_0.data.instance}}",
"systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|Runnable",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain"
"type": "ConversationChain | LLMChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -130,27 +131,27 @@
},
"selected": false,
"positionAbsolute": {
"x": 1176.1569322079652,
"y": 303.56879146735974
"x": 958.9887390513221,
"y": 318.8734467468765
},
"dragging": false
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatAnthropic_0",
"position": {
"x": 800.5525382783799,
"y": -130.7988221837009
"x": 585.3308245972187,
"y": -116.32789506560908
},
"type": "customNode",
"data": {
"id": "chatAnthropic_0",
"label": "ChatAnthropic",
"name": "chatAnthropic",
"version": 3,
"name": "chatAnthropic",
"type": "ChatAnthropic",
"baseClasses": ["ChatAnthropic", "BaseChatModel", "BaseLanguageModel"],
"baseClasses": ["ChatAnthropic", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"category": "Chat Models",
"description": "Wrapper around ChatAnthropic large language models that use the Chat endpoint",
"inputParams": [
@@ -226,7 +227,7 @@
"name": "claude-instant-v1.1-100k"
}
],
"default": "claude-v1",
"default": "claude-2",
"optional": true,
"id": "chatAnthropic_0-input-modelName-options"
},
@@ -234,6 +235,7 @@
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatAnthropic_0-input-temperature-number"
@@ -242,6 +244,7 @@
"label": "Max Tokens",
"name": "maxTokensToSample",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-maxTokensToSample-number"
@@ -250,6 +253,7 @@
"label": "Top P",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topP-number"
@@ -258,6 +262,7 @@
"label": "Top K",
"name": "topK",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topK-number"
@@ -273,6 +278,7 @@
}
],
"inputs": {
"cache": "",
"modelName": "claude-2.1",
"temperature": 0.9,
"maxTokensToSample": "",
@@ -281,10 +287,10 @@
},
"outputAnchors": [
{
"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatAnthropic",
"label": "ChatAnthropic",
"type": "ChatAnthropic | BaseChatModel | BaseLanguageModel"
"type": "ChatAnthropic | BaseChatModel | BaseLanguageModel | Runnable"
}
],
"outputs": {},
@@ -292,61 +298,106 @@
},
"selected": false,
"positionAbsolute": {
"x": 800.5525382783799,
"y": -130.7988221837009
"x": 585.3308245972187,
"y": -116.32789506560908
},
"dragging": false
},
{
"width": 300,
"height": 507,
"id": "pdfFile_0",
"height": 688,
"id": "chatPromptTemplate_0",
"position": {
"x": 94.16886576108482,
"y": 37.12056504707391
"x": -106.44189698270114,
"y": 20.133956087516538
},
"type": "customNode",
"data": {
"id": "pdfFile_0",
"label": "Pdf File",
"name": "pdfFile",
"id": "chatPromptTemplate_0",
"label": "Chat Prompt Template",
"version": 1,
"name": "chatPromptTemplate",
"type": "ChatPromptTemplate",
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate", "Runnable"],
"category": "Prompts",
"description": "Schema to represent a chat prompt",
"inputParams": [
{
"label": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
},
{
"label": "Human Message",
"name": "humanMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "{text}",
"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "chatPromptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\nThe AI has the following context:\n{context}",
"humanMessagePrompt": "{input}",
"promptValues": "{\"context\":\"{{plainText_0.data.instance}}\",\"input\":\"{{question}}\"}"
},
"outputAnchors": [
{
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
"name": "chatPromptTemplate",
"label": "ChatPromptTemplate",
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": -106.44189698270114,
"y": 20.133956087516538
},
"dragging": false
},
{
"width": 300,
"height": 485,
"id": "plainText_0",
"position": {
"x": -487.7511991135089,
"y": 77.83838996645807
},
"type": "customNode",
"data": {
"id": "plainText_0",
"label": "Plain Text",
"version": 2,
"name": "plainText",
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from PDF files",
"description": "Load data from plain text",
"inputParams": [
{
"label": "Pdf File",
"name": "pdfFile",
"type": "file",
"fileType": ".pdf",
"id": "pdfFile_0-input-pdfFile-file"
},
{
"label": "Usage",
"name": "usage",
"type": "options",
"options": [
{
"label": "One document per page",
"name": "perPage"
},
{
"label": "One document per file",
"name": "perFile"
}
],
"default": "perPage",
"id": "pdfFile_0-input-usage-options"
},
{
"label": "Use Legacy Build",
"name": "legacyBuild",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "pdfFile_0-input-legacyBuild-boolean"
"label": "Text",
"name": "text",
"type": "string",
"rows": 4,
"placeholder": "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua...",
"id": "plainText_0-input-text-string"
},
{
"label": "Metadata",
@@ -354,7 +405,7 @@
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pdfFile_0-input-metadata-json"
"id": "plainText_0-input-metadata-json"
}
],
"inputAnchors": [
@@ -363,30 +414,45 @@
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "pdfFile_0-input-textSplitter-TextSplitter"
"id": "plainText_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"text": "Welcome to Skyworld Hotel, where your dreams take flight and your stay soars to new heights. Nestled amidst breathtaking cityscape views, our upscale establishment offers an unparalleled blend of luxury and comfort. Our rooms are elegantly appointed, featuring modern amenities and plush furnishings to ensure your relaxation.\n\nIndulge in culinary delights at our rooftop restaurant, offering a gastronomic journey with panoramic vistas. Skyworld Hotel boasts state-of-the-art conference facilities, perfect for business travelers, and an inviting spa for relaxation seekers. Our attentive staff is dedicated to ensuring your every need is met, making your stay memorable.\n\nCentrally located, we offer easy access to local attractions, making us an ideal choice for both leisure and business travelers. Experience the world of hospitality like never before at Skyworld Hotel.",
"textSplitter": "",
"usage": "perPage",
"legacyBuild": "",
"metadata": ""
},
"outputAnchors": [
{
"id": "pdfFile_0-output-pdfFile-Document",
"name": "pdfFile",
"label": "Document",
"type": "Document"
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "plainText_0-output-document-Document",
"name": "document",
"label": "Document",
"type": "Document"
},
{
"id": "plainText_0-output-text-string|json",
"name": "text",
"label": "Text",
"type": "string | json"
}
],
"default": "document"
}
],
"outputs": {},
"outputs": {
"output": "text"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 94.16886576108482,
"y": 37.12056504707391
"x": -487.7511991135089,
"y": 77.83838996645807
},
"dragging": false
}
@@ -398,32 +464,31 @@
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory",
"data": {
"label": ""
}
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory"
},
{
"source": "chatAnthropic_0",
"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatAnthropic_0-chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
"id": "chatAnthropic_0-chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable-conversationChain_0-conversationChain_0-input-model-BaseChatModel"
},
{
"source": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-document-Document",
"source": "plainText_0",
"sourceHandle": "plainText_0-output-text-string|json",
"target": "chatPromptTemplate_0",
"targetHandle": "chatPromptTemplate_0-input-promptValues-json",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-conversationChain_0-conversationChain_0-input-document-Document",
"data": {
"label": ""
}
"id": "plainText_0-plainText_0-output-text-string|json-chatPromptTemplate_0-chatPromptTemplate_0-input-promptValues-json"
},
{
"source": "chatPromptTemplate_0",
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate",
"type": "buttonedge",
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-conversationChain_0-conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
}
]
}
packages/server/marketplaces/chatflows/Context Chat Engine.json
+3 -3
View File
@@ -172,7 +172,7 @@
"baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
"tags": ["LlamaIndex"],
"category": "Embeddings",
"description": "OpenAI Embedding with LlamaIndex implementation",
"description": "OpenAI Embedding specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
@@ -349,7 +349,7 @@
"baseClasses": ["ChatOpenAI", "BaseChatModel_LlamaIndex"],
"tags": ["LlamaIndex"],
"category": "Chat Models",
"description": "Wrapper around OpenAI Chat LLM with LlamaIndex implementation",
"description": "Wrapper around OpenAI Chat LLM specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
@@ -646,7 +646,7 @@
"baseClasses": ["ChatOpenAI", "BaseChatModel_LlamaIndex"],
"tags": ["LlamaIndex"],
"category": "Chat Models",
"description": "Wrapper around OpenAI Chat LLM with LlamaIndex implementation",
"description": "Wrapper around OpenAI Chat LLM specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
packages/server/marketplaces/chatflows/Conversational Agent.json
+1 -1
View File
@@ -354,7 +354,7 @@
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
+44 -2
View File
@@ -301,7 +301,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -342,6 +342,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -366,7 +405,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json
+69 -39
View File
@@ -249,10 +249,10 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -264,47 +264,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -325,16 +314,15 @@
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{pinecone_0.data.instance}}",
"memory": "",
"returnSourceDocuments": "",
"systemMessagePrompt": "",
"chainOption": ""
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -553,7 +541,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -594,6 +582,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -618,7 +645,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -704,9 +734,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Flowise Docs QnA.json
+25 -36
View File
@@ -156,9 +156,9 @@
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"version": 2,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -170,47 +170,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -232,15 +221,15 @@
"vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
"memory": "",
"returnSourceDocuments": true,
"systemMessagePrompt": "",
"chainOption": ""
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -668,9 +657,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/IfElse.json
+1156
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/Local QnA.json
+26 -35
View File
@@ -83,10 +83,10 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -98,47 +98,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -158,14 +147,16 @@
"inputs": {
"model": "{{chatOllama_0.data.instance}}",
"vectorStoreRetriever": "{{faiss_0.data.instance}}",
"memory": ""
"memory": "",
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -649,9 +640,9 @@
"source": "chatOllama_0",
"sourceHandle": "chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOllama_0-chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOllama_0-chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Long Term Memory.json
+28 -37
View File
@@ -13,10 +13,10 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -28,47 +28,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -89,14 +78,16 @@
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{qdrant_0.data.instance}}",
"memory": "{{ZepMemory_0.data.instance}}",
"returnSourceDocuments": true
"returnSourceDocuments": true,
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -232,7 +223,7 @@
"label": "Session Id",
"name": "sessionId",
"type": "string",
"description": "if empty, chatId will be used automatically",
"description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory/long-term-memory#ui-and-embedded-chat\">more</a>",
"default": "",
"additionalParams": true,
"optional": true,
@@ -244,8 +235,8 @@
"type": "number",
"default": "10",
"step": 1,
"description": "Window of size k to surface the last k back-and-forths to use as memory.",
"additionalParams": true,
"description": "Window of size k to surface the last k back-and-forths to use as memory.",
"id": "ZepMemory_0-input-k-number"
},
{
@@ -709,9 +700,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Metadata Filter.json
+70 -37
View File
@@ -249,10 +249,10 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -264,47 +264,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -323,14 +312,16 @@
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{pinecone_0.data.instance}}"
"vectorStoreRetriever": "{{pinecone_0.data.instance}}",
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -634,7 +625,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -675,6 +666,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -699,7 +729,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "{\"id\":{\"$in\":[\"doc1\",\"doc2\"]}}",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -763,9 +796,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json
+87 -3
View File
@@ -560,7 +560,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -601,6 +601,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -625,7 +664,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -840,6 +882,45 @@
"additionalParams": true,
"optional": true,
"id": "supabase_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -865,7 +946,10 @@
"tableName": "",
"queryName": "",
"supabaseMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Multiple VectorDB.json
+3 -3
View File
@@ -54,7 +54,7 @@
"inputs": {
"name": "ai-paper-qa",
"description": "AI Paper QA - useful for when you need to ask questions about the AI-Generated Content paper.",
"returnDirect": "",
"returnDirect": true,
"baseChain": "{{retrievalQAChain_0.data.instance}}"
},
"outputAnchors": [
@@ -128,7 +128,7 @@
"inputs": {
"name": "state-of-union-qa",
"description": "State of the Union QA - useful for when you need to ask questions about the president speech and most recent state of the union address.",
"returnDirect": "",
"returnDirect": true,
"baseChain": "{{retrievalQAChain_1.data.instance}}"
},
"outputAnchors": [
@@ -1567,7 +1567,7 @@
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
packages/server/marketplaces/chatflows/OpenAI Assistant.json
+10 -1
View File
@@ -14,7 +14,7 @@
"data": {
"id": "openAIAssistant_0",
"label": "OpenAI Assistant",
"version": 2,
"version": 3,
"name": "openAIAssistant",
"type": "OpenAIAssistant",
"baseClasses": ["OpenAIAssistant"],
@@ -45,6 +45,15 @@
"type": "Tool",
"list": true,
"id": "openAIAssistant_0-input-tools-Tool"
},
{
"label": "Input Moderation",
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
"name": "inputModeration",
"type": "Moderation",
"optional": true,
"list": true,
"id": "openAIAssistant_0-input-inputModeration-Moderation"
}
],
"inputs": {
packages/server/marketplaces/chatflows/Query Engine.json
+2 -2
View File
@@ -197,7 +197,7 @@
"baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
"tags": ["LlamaIndex"],
"category": "Embeddings",
"description": "OpenAI Embedding with LlamaIndex implementation",
"description": "OpenAI Embedding specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
@@ -328,7 +328,7 @@
"baseClasses": ["ChatAnthropic", "BaseChatModel_LlamaIndex"],
"tags": ["LlamaIndex"],
"category": "Chat Models",
"description": "Wrapper around ChatAnthropic LLM with LlamaIndex implementation",
"description": "Wrapper around ChatAnthropic LLM specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
packages/server/marketplaces/chatflows/SQL Prompt.json
+1712
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/Simple Chat Engine.json
+1 -1
View File
@@ -144,7 +144,7 @@
"baseClasses": ["AzureChatOpenAI", "BaseChatModel_LlamaIndex"],
"tags": ["LlamaIndex"],
"category": "Chat Models",
"description": "Wrapper around Azure OpenAI Chat LLM with LlamaIndex implementation",
"description": "Wrapper around Azure OpenAI Chat LLM specific for LlamaIndex",
"inputParams": [
{
"label": "Connect Credential",
packages/server/marketplaces/chatflows/Simple Conversation Chain.json
+217 -203
View File
@@ -2,20 +2,210 @@
"description": "Basic example of Conversation Chain with built-in memory - works exactly like ChatGPT",
"badge": "POPULAR",
"nodes": [
{
"width": 300,
"height": 574,
"id": "chatOpenAI_0",
"position": {
"x": 579.0877964395976,
"y": -138.68792413227874
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
},
{
"label": "BaseOptions",
"name": "baseOptions",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-baseOptions-json"
}
],
"inputAnchors": [
{
"label": "Cache",
"name": "cache",
"type": "BaseCache",
"optional": true,
"id": "chatOpenAI_0-input-cache-BaseCache"
}
],
"inputs": {
"cache": "",
"modelName": "gpt-3.5-turbo-16k",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": "",
"baseOptions": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 579.0877964395976,
"y": -138.68792413227874
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 753.4300788823234,
"y": 479.5336426526603
"x": 220.30240896145915,
"y": 351.61324070296877
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@@ -54,179 +244,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 753.4300788823234,
"y": 479.5336426526603
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 754.8942497823595,
"y": -140
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
},
{
"label": "BaseOptions",
"name": "baseOptions",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-baseOptions-json"
}
],
"inputAnchors": [
{
"label": "Cache",
"name": "cache",
"type": "BaseCache",
"optional": true,
"id": "chatOpenAI_0-input-cache-BaseCache"
}
],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": "",
"baseOptions": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 754.8942497823595,
"y": -140
"x": 220.30240896145915,
"y": 351.61324070296877
},
"dragging": false
},
@@ -235,17 +254,17 @@
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1174.6496397666272,
"y": 311.1052536740497
"x": 958.9887390513221,
"y": 318.8734467468765
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"label": "Conversation Chain",
"version": 2,
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
@@ -254,15 +273,17 @@
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"description": "If Chat Prompt Template is provided, this will be ignored",
"additionalParams": true,
"optional": true,
"placeholder": "You are a helpful assistant that write codes",
"default": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"placeholder": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"id": "conversationChain_0-input-systemMessagePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationChain_0-input-model-BaseChatModel"
@@ -274,27 +295,26 @@
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"label": "Chat Prompt Template",
"name": "chatPromptTemplate",
"type": "ChatPromptTemplate",
"description": "Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable",
"optional": true,
"list": true,
"id": "conversationChain_0-input-document-Document"
"id": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": "",
"systemMessagePrompt": ""
"chatPromptTemplate": "",
"systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|Runnable",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain"
"type": "ConversationChain | LLMChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -302,8 +322,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 1174.6496397666272,
"y": 311.1052536740497
"x": 958.9887390513221,
"y": 318.8734467468765
},
"dragging": false
}
@@ -311,14 +331,11 @@
"edges": [
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationChain_0-conversationChain_0-input-model-BaseChatModel"
},
{
"source": "bufferMemory_0",
@@ -326,10 +343,7 @@
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory",
"data": {
"label": ""
}
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory"
}
]
}
packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json
+48 -36
View File
@@ -190,7 +190,7 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
@@ -205,47 +205,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -267,8 +256,8 @@
"vectorStoreRetriever": "{{vectara_0.data.instance}}",
"memory": "",
"returnSourceDocuments": true,
"systemMessagePrompt": "",
"chainOption": ""
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
@@ -361,12 +350,33 @@
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Defaults to 4",
"placeholder": "4",
"description": "Number of top results to fetch. Defaults to 5",
"placeholder": "5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectara_0-input-topK-number"
},
{
"label": "MMR K",
"name": "mmrK",
"description": "The number of results to rerank if MMR is enabled.",
"placeholder": "50",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectara_0-input-mmrK-number"
},
{
"label": "MMR Diversity Bias",
"name": "mmrDiversityBias",
"step": 0.1,
"description": "Diversity Bias parameter for MMR, if enabled. 0.0 means no diversiry bias, 1.0 means maximum diversity bias. Defaults to 0.0 (MMR disabled).",
"placeholder": "0.0",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectara_0-input-mmrDiversityBias-number"
}
],
"inputAnchors": [
@@ -385,7 +395,9 @@
"sentencesBefore": "",
"sentencesAfter": "",
"lambda": "",
"topK": ""
"topK": "",
"mmrK": "",
"mmrDiversityBias": ""
},
"outputAnchors": [
{
@@ -427,9 +439,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/WebBrowser.json
+1 -1
View File
@@ -578,7 +578,7 @@
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
packages/server/marketplaces/chatflows/WebPage QnA.json
+69 -38
View File
@@ -162,10 +162,10 @@
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"version": 2,
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
@@ -177,47 +177,36 @@
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
},
{
"label": "System Message",
"name": "systemMessagePrompt",
"label": "Rephrase Prompt",
"name": "rephrasePrompt",
"type": "string",
"description": "Using previous chat history, rephrase question into a standalone question",
"warning": "Prompt must include input variables: {chat_history} and {question}",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"label": "Response Prompt",
"name": "responsePrompt",
"type": "string",
"description": "Taking the rephrased question, search for answer from the provided context",
"warning": "Prompt must include input variable: {context}",
"rows": 4,
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"label": "Chat Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
},
{
"label": "Vector Store Retriever",
@@ -239,15 +228,15 @@
"vectorStoreRetriever": "{{pinecone_0.data.instance}}",
"memory": "{{RedisBackedChatMemory_0.data.instance}}",
"returnSourceDocuments": true,
"systemMessagePrompt": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given context. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Do not make up any information that is not in the context. Refuse to answer any question not about the info. Never break character.",
"chainOption": ""
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -654,7 +643,7 @@
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -695,6 +684,45 @@
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-topK-number"
},
{
"label": "Search Type",
"name": "searchType",
"type": "options",
"default": "similarity",
"options": [
{
"label": "Similarity",
"name": "similarity"
},
{
"label": "Max Marginal Relevance",
"name": "mmr"
}
],
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-searchType-options"
},
{
"label": "Fetch K (for MMR Search)",
"name": "fetchK",
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
"placeholder": "20",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-fetchK-number"
},
{
"label": "Lambda (for MMR Search)",
"name": "lambda",
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
"placeholder": "0.5",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pinecone_0-input-lambda-number"
}
],
"inputAnchors": [
@@ -719,7 +747,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -772,9 +803,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}