mirror of
https://github.com/farcasclaudiu/Flowise.git
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Merge branch 'main' into feature/Credential
# Conflicts: # README.md # docker/.env.example # packages/components/nodes/documentloaders/Notion/NotionDB.ts # packages/components/nodes/memory/DynamoDb/DynamoDb.ts # packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts # packages/components/nodes/memory/ZepMemory/ZepMemory.ts # packages/components/package.json # packages/components/src/utils.ts # packages/server/.env.example # packages/server/README.md # packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json # packages/server/src/ChildProcess.ts # packages/server/src/DataSource.ts # packages/server/src/commands/start.ts # packages/server/src/index.ts # packages/server/src/utils/index.ts # packages/server/src/utils/logger.ts
This commit is contained in:
Henry
+1
-1
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"description": "Use OpenAI Function Agent to automatically decide which API to call, generating url and body request from conversation",
|
||||
"description": "Use OpenAI Function Agent and Chain to automatically decide which API to call, generating url and body request from conversation",
|
||||
"nodes": [
|
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{
|
||||
"width": 300,
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||||
@@ -0,0 +1,226 @@
|
||||
{
|
||||
"description": "Analyse and summarize CSV data",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 377,
|
||||
"id": "csvAgent_0",
|
||||
"position": {
|
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"y": 284.44352695304724
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},
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"type": "customNode",
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"data": {
|
||||
"id": "csvAgent_0",
|
||||
"label": "CSV Agent",
|
||||
"name": "csvAgent",
|
||||
"type": "AgentExecutor",
|
||||
"baseClasses": ["AgentExecutor", "BaseChain"],
|
||||
"category": "Agents",
|
||||
"description": "Agent used to to answer queries on CSV data",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Csv File",
|
||||
"name": "csvFile",
|
||||
"type": "file",
|
||||
"fileType": ".csv",
|
||||
"id": "csvAgent_0-input-csvFile-file"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "csvAgent_0-input-model-BaseLanguageModel"
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||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "csvAgent_0-output-csvAgent-AgentExecutor|BaseChain",
|
||||
"name": "csvAgent",
|
||||
"label": "AgentExecutor",
|
||||
"type": "AgentExecutor | BaseChain"
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||||
}
|
||||
],
|
||||
"outputs": {},
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||||
"selected": false
|
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},
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"selected": false,
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"positionAbsolute": {
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"dragging": false
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},
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{
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"width": 300,
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"height": 522,
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"id": "chatOpenAI_0",
|
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"position": {
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"x": 657.3762197414501,
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"y": 220.2950766042332
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},
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"type": "customNode",
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"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
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||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 657.3762197414501,
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"y": 220.2950766042332
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||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "csvAgent_0",
|
||||
"targetHandle": "csvAgent_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-csvAgent_0-csvAgent_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
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}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -3,132 +3,11 @@
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 376,
|
||||
"id": "recursiveCharacterTextSplitter_1",
|
||||
"position": {
|
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"x": 422.81091375202413,
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"y": 122.99825010325736
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},
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||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "recursiveCharacterTextSplitter_1",
|
||||
"label": "Recursive Character Text Splitter",
|
||||
"name": "recursiveCharacterTextSplitter",
|
||||
"type": "RecursiveCharacterTextSplitter",
|
||||
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
|
||||
"category": "Text Splitters",
|
||||
"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chunk Size",
|
||||
"name": "chunkSize",
|
||||
"type": "number",
|
||||
"default": 1000,
|
||||
"optional": true,
|
||||
"id": "recursiveCharacterTextSplitter_1-input-chunkSize-number"
|
||||
},
|
||||
{
|
||||
"label": "Chunk Overlap",
|
||||
"name": "chunkOverlap",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"chunkSize": 1000,
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||||
"chunkOverlap": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
|
||||
"name": "recursiveCharacterTextSplitter",
|
||||
"label": "RecursiveCharacterTextSplitter",
|
||||
"type": "RecursiveCharacterTextSplitter | TextSplitter"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 422.81091375202413,
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"y": 122.99825010325736
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},
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||||
"dragging": false
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},
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||||
{
|
||||
"width": 300,
|
||||
"height": 392,
|
||||
"id": "textFile_1",
|
||||
"position": {
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"x": 788.5395420616719,
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"y": 126.30459801017741
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},
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"type": "customNode",
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||||
"data": {
|
||||
"id": "textFile_1",
|
||||
"label": "Text File",
|
||||
"name": "textFile",
|
||||
"type": "Document",
|
||||
"baseClasses": ["Document"],
|
||||
"category": "Document Loaders",
|
||||
"description": "Load data from text files",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Txt File",
|
||||
"name": "txtFile",
|
||||
"type": "file",
|
||||
"fileType": ".txt",
|
||||
"id": "textFile_1-input-txtFile-file"
|
||||
},
|
||||
{
|
||||
"label": "Metadata",
|
||||
"name": "metadata",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "textFile_1-input-metadata-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Text Splitter",
|
||||
"name": "textSplitter",
|
||||
"type": "TextSplitter",
|
||||
"optional": true,
|
||||
"id": "textFile_1-input-textSplitter-TextSplitter"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "textFile_1-output-textFile-Document",
|
||||
"name": "textFile",
|
||||
"label": "Document",
|
||||
"type": "Document"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 788.5395420616719,
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"y": 126.30459801017741
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},
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||||
"dragging": false
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||||
},
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||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 522,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 1200.8283780918746,
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"y": 12.591428916196605
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"x": 1184.1176114500388,
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"y": -44.15535835370571
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||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
@@ -249,7 +128,7 @@
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"temperature": "0",
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
@@ -268,129 +147,20 @@
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1200.8283780918746,
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||||
"y": 12.591428916196605
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||||
"x": 1184.1176114500388,
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"y": -44.15535835370571
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||||
},
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||||
"selected": false,
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||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 480,
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"position": {
|
||||
"x": 1626.7402076624098,
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||||
"y": 394.29095783927113
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||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"label": "Conversational Retrieval QA Chain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
|
||||
},
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"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"
|
||||
},
|
||||
{
|
||||
"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."
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Vector Store Retriever",
|
||||
"name": "vectorStoreRetriever",
|
||||
"type": "BaseRetriever",
|
||||
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}",
|
||||
"memory": "",
|
||||
"returnSourceDocuments": "",
|
||||
"systemMessagePrompt": "",
|
||||
"chainOption": ""
|
||||
},
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||||
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||||
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||||
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||||
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||||
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|
||||
"targetHandle": "github_0-input-textSplitter-TextSplitter",
|
||||
"type": "buttonedge",
|
||||
"id": "markdownTextSplitter_0-markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-github_0-github_0-input-textSplitter-TextSplitter",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "github_0",
|
||||
"sourceHandle": "github_0-output-github-Document",
|
||||
"target": "memoryVectorStore_0",
|
||||
"targetHandle": "memoryVectorStore_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "github_0-github_0-output-github-Document-memoryVectorStore_0-memoryVectorStore_0-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "memoryVectorStore_0",
|
||||
"targetHandle": "memoryVectorStore_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-memoryVectorStore_0-memoryVectorStore_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -135,15 +135,16 @@
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"type": "BaseMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatLocalAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}"
|
||||
"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}",
|
||||
"memory": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
|
||||
@@ -78,10 +78,10 @@
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"type": "BaseMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
@@ -631,9 +631,9 @@
|
||||
"source": "ZepMemory_0",
|
||||
"sourceHandle": "ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "ZepMemory_0-ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"id": "ZepMemory_0-ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
||||
@@ -78,10 +78,10 @@
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"type": "BaseMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
|
||||
@@ -283,10 +283,10 @@
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"type": "BaseMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
|
||||
@@ -0,0 +1,273 @@
|
||||
{
|
||||
"description": "Use Replicate API that runs Llama 13b v2 model with LLMChain",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 967.581544453458,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{replicate_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | BaseLangChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 967.581544453458,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 475,
|
||||
"id": "promptTemplate_0",
|
||||
"position": {
|
||||
"x": 269.2203229225663,
|
||||
"y": 129.02909641085535
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a basic prompt for an LLM",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Template",
|
||||
"name": "template",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "What is a good name for a company that makes {product}?",
|
||||
"id": "promptTemplate_0-input-template-string"
|
||||
},
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"list": true,
|
||||
"id": "promptTemplate_0-input-promptValues-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"template": "Assistant: You are a helpful assistant. You do not respond as 'User' or pretend to be 'User'. You only respond once as Assistant.\nUser: {query}\nAssistant:",
|
||||
"promptValues": "{\"query\":\"{{question}}\"}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"name": "promptTemplate",
|
||||
"label": "PromptTemplate",
|
||||
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 269.2203229225663,
|
||||
"y": 129.02909641085535
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 527,
|
||||
"id": "replicate_0",
|
||||
"position": {
|
||||
"x": 607.4915400488668,
|
||||
"y": -60.643337207007804
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "replicate_0",
|
||||
"label": "Replicate",
|
||||
"name": "replicate",
|
||||
"type": "Replicate",
|
||||
"baseClasses": ["Replicate", "LLM", "BaseLLM", "BaseLanguageModel"],
|
||||
"category": "LLMs",
|
||||
"description": "Use Replicate to run open source models on cloud",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Replicate Api Key",
|
||||
"name": "replicateApiKey",
|
||||
"type": "password",
|
||||
"id": "replicate_0-input-replicateApiKey-password"
|
||||
},
|
||||
{
|
||||
"label": "Model",
|
||||
"name": "model",
|
||||
"type": "string",
|
||||
"placeholder": "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
|
||||
"optional": true,
|
||||
"id": "replicate_0-input-model-string"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.",
|
||||
"default": 0.7,
|
||||
"optional": true,
|
||||
"id": "replicate_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"description": "Maximum number of tokens to generate. A word is generally 2-3 tokens",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "replicate_0-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"description": "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "replicate_0-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Repetition Penalty",
|
||||
"name": "repetitionPenalty",
|
||||
"type": "number",
|
||||
"description": "Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. (minimum: 0.01; maximum: 5)",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "replicate_0-input-repetitionPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Additional Inputs",
|
||||
"name": "additionalInputs",
|
||||
"type": "json",
|
||||
"description": "Each model has different parameters, refer to the specific model accepted inputs. For example: <a target=\"_blank\" href=\"https://replicate.com/a16z-infra/llama13b-v2-chat/api#inputs\">llama13b-v2</a>",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "replicate_0-input-additionalInputs-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"model": "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
|
||||
"temperature": 0.7,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"repetitionPenalty": "",
|
||||
"additionalInputs": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "replicate_0-output-replicate-Replicate|LLM|BaseLLM|BaseLanguageModel",
|
||||
"name": "replicate",
|
||||
"label": "Replicate",
|
||||
"type": "Replicate | LLM | BaseLLM | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 607.4915400488668,
|
||||
"y": -60.643337207007804
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||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "replicate_0",
|
||||
"sourceHandle": "replicate_0-output-replicate-Replicate|LLM|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "replicate_0-replicate_0-output-replicate-Replicate|LLM|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,122 +1,13 @@
|
||||
{
|
||||
"description": "Scrape web pages for QnA using conversational retrieval QA chain",
|
||||
"description": "Scrape web pages for QnA with long term memory Motorhead and return source documents",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 480,
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"position": {
|
||||
"x": 1574.2192193338556,
|
||||
"y": 334.4358233039927
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"label": "Conversational Retrieval QA Chain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
|
||||
},
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"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"
|
||||
},
|
||||
{
|
||||
"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."
|
||||
}
|
||||
],
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||||
"additionalParams": true,
|
||||
"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
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}
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],
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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||||
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
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||||
},
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{
|
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"label": "Vector Store Retriever",
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||||
"name": "vectorStoreRetriever",
|
||||
"type": "BaseRetriever",
|
||||
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
|
||||
"optional": true,
|
||||
"description": "If no memory connected, default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}",
|
||||
"memory": "",
|
||||
"returnSourceDocuments": "",
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||||
"systemMessagePrompt": "",
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||||
"chainOption": ""
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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"label": "ConversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain | BaseChain"
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||||
}
|
||||
],
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"outputs": {},
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},
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{
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"width": 300,
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"height": 522,
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"id": "chatOpenAI_0",
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@@ -257,19 +148,19 @@
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"selected": false
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{
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||||
"width": 300,
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"height": 329,
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"height": 328,
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"id": "openAIEmbeddings_0",
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"position": {
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@@ -341,18 +232,18 @@
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},
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{
|
||||
"width": 300,
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"height": 555,
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"height": 554,
|
||||
"id": "pineconeUpsert_0",
|
||||
"position": {
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"x": 1191.1792786926865,
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"y": 514.2126330994578
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"y": -1.6626550640073674
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"type": "customNode",
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@@ -448,18 +339,18 @@
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||||
},
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"selected": false,
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||||
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"x": 1178.0855412625938,
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"y": -1.6626550640073674
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||||
"dragging": false
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||||
},
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||||
{
|
||||
"width": 300,
|
||||
"height": 380,
|
||||
"height": 379,
|
||||
"id": "cheerioWebScraper_0",
|
||||
"position": {
|
||||
"x": 788.9349009610441,
|
||||
"y": 180.57790622561026
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},
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||||
"type": "customNode",
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||||
"data": {
|
||||
@@ -528,9 +419,9 @@
|
||||
],
|
||||
"inputs": {
|
||||
"url": "https://www.itsjane.com",
|
||||
"textSplitter": "{{recursiveCharacterTextSplitter_0.data.instance}}",
|
||||
"relativeLinksMethod": "webCrawl",
|
||||
"limit": "0",
|
||||
"textSplitter": "{{htmlToMarkdownTextSplitter_0.data.instance}}",
|
||||
"relativeLinksMethod": "",
|
||||
"limit": "",
|
||||
"metadata": ""
|
||||
},
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"outputAnchors": [
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||||
@@ -546,28 +437,34 @@
|
||||
},
|
||||
"selected": false,
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"positionAbsolute": {
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"x": 788.9349009610441,
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"y": 180.57790622561026
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"x": 829.4409518246235,
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"y": -168.78678247276423
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 376,
|
||||
"id": "recursiveCharacterTextSplitter_0",
|
||||
"id": "htmlToMarkdownTextSplitter_0",
|
||||
"position": {
|
||||
"x": 406.08456707531263,
|
||||
"y": 197.66460328693972
|
||||
"x": 443.00626484042334,
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"y": 1.2942107707648631
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "recursiveCharacterTextSplitter_0",
|
||||
"label": "Recursive Character Text Splitter",
|
||||
"name": "recursiveCharacterTextSplitter",
|
||||
"type": "RecursiveCharacterTextSplitter",
|
||||
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
|
||||
"id": "htmlToMarkdownTextSplitter_0",
|
||||
"label": "HtmlToMarkdown Text Splitter",
|
||||
"name": "htmlToMarkdownTextSplitter",
|
||||
"type": "HtmlToMarkdownTextSplitter",
|
||||
"baseClasses": [
|
||||
"HtmlToMarkdownTextSplitter",
|
||||
"MarkdownTextSplitter",
|
||||
"RecursiveCharacterTextSplitter",
|
||||
"TextSplitter",
|
||||
"BaseDocumentTransformer"
|
||||
],
|
||||
"category": "Text Splitters",
|
||||
"description": "Split documents recursively by different characters - starting with \"\\n\\n\", then \"\\n\", then \" \"",
|
||||
"description": "Converts Html to Markdown and then split your content into documents based on the Markdown headers",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chunk Size",
|
||||
@@ -575,14 +472,14 @@
|
||||
"type": "number",
|
||||
"default": 1000,
|
||||
"optional": true,
|
||||
"id": "recursiveCharacterTextSplitter_0-input-chunkSize-number"
|
||||
"id": "htmlToMarkdownTextSplitter_0-input-chunkSize-number"
|
||||
},
|
||||
{
|
||||
"label": "Chunk Overlap",
|
||||
"name": "chunkOverlap",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"id": "recursiveCharacterTextSplitter_0-input-chunkOverlap-number"
|
||||
"id": "htmlToMarkdownTextSplitter_0-input-chunkOverlap-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
@@ -592,10 +489,10 @@
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
|
||||
"name": "recursiveCharacterTextSplitter",
|
||||
"label": "RecursiveCharacterTextSplitter",
|
||||
"type": "RecursiveCharacterTextSplitter | TextSplitter"
|
||||
"id": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
|
||||
"name": "htmlToMarkdownTextSplitter",
|
||||
"label": "HtmlToMarkdownTextSplitter",
|
||||
"type": "HtmlToMarkdownTextSplitter | MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
@@ -603,8 +500,195 @@
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
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||||
{
|
||||
"width": 300,
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"height": 479,
|
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"id": "conversationalRetrievalQAChain_0",
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"id": "conversationalRetrievalQAChain_0",
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||||
"label": "Conversational Retrieval QA Chain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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||||
},
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||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"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"
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},
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{
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"label": "Chain Option",
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"name": "chainOption",
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||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "MapReduceDocumentsChain",
|
||||
"name": "map_reduce",
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||||
"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",
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||||
"description": "Suitable for QA tasks over a small number of documents."
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||||
}
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||||
],
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"additionalParams": true,
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
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}
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],
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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||||
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Vector Store Retriever",
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"name": "vectorStoreRetriever",
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"type": "BaseRetriever",
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"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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},
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{
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"label": "Memory",
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||||
"name": "memory",
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"type": "BaseMemory",
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"optional": true,
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}",
|
||||
"memory": "{{motorheadMemory_0.data.instance}}",
|
||||
"returnSourceDocuments": true,
|
||||
"systemMessagePrompt": "",
|
||||
"chainOption": ""
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||||
},
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||||
{
|
||||
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
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||||
"name": "conversationalRetrievalQAChain",
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||||
"label": "ConversationalRetrievalQAChain",
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||||
"type": "ConversationalRetrievalQAChain | BaseChain"
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}
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||||
],
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"dragging": false
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||||
},
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||||
{
|
||||
"width": 300,
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||||
"height": 426,
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||||
"id": "motorheadMemory_0",
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||||
"position": {
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"y": 539.7912360964175
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},
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||||
"type": "customNode",
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||||
"data": {
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||||
"id": "motorheadMemory_0",
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||||
"label": "Motorhead Memory",
|
||||
"name": "motorheadMemory",
|
||||
"type": "MotorheadMemory",
|
||||
"baseClasses": ["MotorheadMemory", "BaseChatMemory", "BaseMemory"],
|
||||
"category": "Memory",
|
||||
"description": "Use Motorhead Memory to store chat conversations",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"optional": true,
|
||||
"description": "Only needed when using hosted solution - https://getmetal.io",
|
||||
"credentialNames": ["motorheadMemoryApi"],
|
||||
"id": "motorheadMemory_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Base URL",
|
||||
"name": "baseURL",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"description": "To use the online version, leave the URL blank. More details at https://getmetal.io.",
|
||||
"id": "motorheadMemory_0-input-baseURL-string"
|
||||
},
|
||||
{
|
||||
"label": "Session Id",
|
||||
"name": "sessionId",
|
||||
"type": "string",
|
||||
"description": "if empty, chatId will be used automatically",
|
||||
"default": "",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "motorheadMemory_0-input-sessionId-string"
|
||||
},
|
||||
{
|
||||
"label": "Memory Key",
|
||||
"name": "memoryKey",
|
||||
"type": "string",
|
||||
"default": "chat_history",
|
||||
"additionalParams": true,
|
||||
"id": "motorheadMemory_0-input-memoryKey-string"
|
||||
}
|
||||
],
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"inputAnchors": [],
|
||||
"inputs": {
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||||
"baseURL": "",
|
||||
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|
||||
"memoryKey": "chat_history"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory",
|
||||
"name": "motorheadMemory",
|
||||
"label": "MotorheadMemory",
|
||||
"type": "MotorheadMemory | BaseChatMemory | BaseMemory"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
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|
||||
},
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||||
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"x": 1515.4202055109095,
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},
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"dragging": false
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}
|
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@@ -622,12 +706,23 @@
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "pineconeUpsert_0",
|
||||
"sourceHandle": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"source": "cheerioWebScraper_0",
|
||||
"sourceHandle": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
|
||||
"target": "pineconeUpsert_0",
|
||||
"targetHandle": "pineconeUpsert_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeUpsert_0-pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"id": "cheerioWebScraper_0-cheerioWebScraper_0-output-cheerioWebScraper-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "htmlToMarkdownTextSplitter_0",
|
||||
"sourceHandle": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
|
||||
"target": "cheerioWebScraper_0",
|
||||
"targetHandle": "cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"type": "buttonedge",
|
||||
"id": "htmlToMarkdownTextSplitter_0-htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-cheerioWebScraper_0-cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
@@ -644,23 +739,23 @@
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "recursiveCharacterTextSplitter_0",
|
||||
"sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
|
||||
"target": "cheerioWebScraper_0",
|
||||
"targetHandle": "cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"source": "pineconeUpsert_0",
|
||||
"sourceHandle": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-cheerioWebScraper_0-cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"id": "pineconeUpsert_0-pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "cheerioWebScraper_0",
|
||||
"sourceHandle": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
|
||||
"target": "pineconeUpsert_0",
|
||||
"targetHandle": "pineconeUpsert_0-input-document-Document",
|
||||
"source": "motorheadMemory_0",
|
||||
"sourceHandle": "motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "cheerioWebScraper_0-cheerioWebScraper_0-output-cheerioWebScraper-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
|
||||
"id": "motorheadMemory_0-motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user