mirror of
https://github.com/farcasclaudiu/Flowise.git
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Chore/update deprecating nodes (#2540)
* update deprecating nodes * add filters use cases to marketplace * update log level
This commit is contained in:
Henry Heng
@@ -1,12 +1,12 @@
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{
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"description": "Text file QnA using conversational retrieval QA chain",
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"categories": "TextFile,ChatOpenAI,Conversational Retrieval QA Chain,Pinecone,Langchain",
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"description": "Documents QnA using Retrieval Augmented Generation (RAG) with Mistral and FAISS for similarity search",
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"badge": "POPULAR",
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"framework": "Langchain",
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"usecases": ["Documents QnA"],
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"framework": ["Langchain"],
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"nodes": [
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{
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"width": 300,
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"height": 329,
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"height": 424,
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"id": "openAIEmbeddings_0",
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"position": {
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"x": 795.6162477805387,
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@@ -16,7 +16,7 @@
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"data": {
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"id": "openAIEmbeddings_0",
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"label": "OpenAI Embeddings",
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"version": 3,
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"version": 4,
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"name": "openAIEmbeddings",
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"type": "OpenAIEmbeddings",
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"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
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@@ -36,7 +36,7 @@
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"default": "text-embedding-ada-002",
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"id": "openAIEmbeddings_0-input-modelName-options"
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"id": "openAIEmbeddings_0-input-modelName-asyncOptions"
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},
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{
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"label": "Strip New Lines",
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@@ -69,21 +69,31 @@
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-basepath-string"
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},
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{
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"label": "Dimensions",
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"name": "dimensions",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-dimensions-number"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"modelName": "text-embedding-ada-002",
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"stripNewLines": "",
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"batchSize": "",
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"timeout": "",
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"basepath": "",
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"modelName": "text-embedding-ada-002"
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"dimensions": ""
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},
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"outputAnchors": [
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{
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"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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"name": "openAIEmbeddings",
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"label": "OpenAIEmbeddings",
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"description": "OpenAI API to generate embeddings for a given text",
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"type": "OpenAIEmbeddings | Embeddings"
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}
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],
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@@ -99,7 +109,7 @@
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},
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{
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"width": 300,
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"height": 429,
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"height": 430,
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"id": "recursiveCharacterTextSplitter_0",
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"position": {
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"x": 406.08456707531263,
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@@ -168,7 +178,7 @@
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},
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{
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"width": 300,
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"height": 419,
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"height": 421,
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"id": "textFile_0",
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"position": {
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"x": 786.5497697231324,
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@@ -250,7 +260,7 @@
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},
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{
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"width": 300,
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"height": 480,
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"height": 532,
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"id": "conversationalRetrievalQAChain_0",
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"position": {
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"x": 1558.6564094656787,
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@@ -332,8 +342,8 @@
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],
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"inputs": {
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"inputModeration": "",
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"model": "{{chatOpenAI_0.data.instance}}",
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"vectorStoreRetriever": "{{pinecone_0.data.instance}}",
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"model": "{{chatMistralAI_0.data.instance}}",
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"vectorStoreRetriever": "{{faiss_0.data.instance}}",
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"memory": "",
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"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:",
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"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."
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@@ -353,235 +363,33 @@
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"x": 1558.6564094656787,
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"y": 386.60217819991124
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},
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"selected": false
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},
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{
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"width": 300,
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"height": 574,
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"id": "chatOpenAI_0",
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"position": {
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"x": 1194.3554779412727,
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"y": -46.74877201166788
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},
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"type": "customNode",
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"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 6.0,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
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"category": "Chat Models",
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"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "chatOpenAI_0-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"default": "gpt-3.5-turbo",
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"id": "chatOpenAI_0-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"step": 0.1,
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"default": 0.9,
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"optional": true,
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"id": "chatOpenAI_0-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-topP-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-presencePenalty-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-basepath-string"
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},
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{
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"label": "BaseOptions",
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"name": "baseOptions",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-baseOptions-json"
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},
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{
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"label": "Allow Image Uploads",
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"name": "allowImageUploads",
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"type": "boolean",
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"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
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"default": false,
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"optional": true,
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"id": "chatOpenAI_0-input-allowImageUploads-boolean"
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},
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{
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"label": "Image Resolution",
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"description": "This parameter controls the resolution in which the model views the image.",
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"name": "imageResolution",
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"type": "options",
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"options": [
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{
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"label": "Low",
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"name": "low"
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},
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{
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"label": "High",
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"name": "high"
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},
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{
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"label": "Auto",
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"name": "auto"
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}
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],
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"default": "low",
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"optional": false,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-imageResolution-options"
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}
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],
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"inputAnchors": [
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{
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"label": "Cache",
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"name": "cache",
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"type": "BaseCache",
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"optional": true,
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"id": "chatOpenAI_0-input-cache-BaseCache"
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}
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],
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"inputs": {
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"cache": "",
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"modelName": "gpt-3.5-turbo-16k",
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"temperature": 0.9,
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"maxTokens": "",
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"topP": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"timeout": "",
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"basepath": "",
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"baseOptions": "",
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"allowImageUploads": true,
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"imageResolution": "low"
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},
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"outputAnchors": [
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{
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"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
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"name": "chatOpenAI",
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"label": "ChatOpenAI",
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"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
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}
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],
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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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"x": 1194.3554779412727,
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"y": -46.74877201166788
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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": 555,
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"id": "pinecone_0",
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"id": "faiss_0",
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"position": {
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"x": 1192.4771449209463,
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"y": 552.43946147251
|
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"x": 1193.61786387649,
|
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"y": 559.055052045731
|
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},
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"type": "customNode",
|
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"data": {
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"id": "pinecone_0",
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"label": "Pinecone",
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"version": 2,
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"name": "pinecone",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"id": "faiss_0",
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"label": "Faiss",
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"version": 1,
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"name": "faiss",
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"type": "Faiss",
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"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
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"description": "Upsert embedded data and perform similarity search upon query using Faiss library from Meta",
|
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"inputParams": [
|
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{
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"label": "Connect Credential",
|
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"name": "credential",
|
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"type": "credential",
|
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"credentialNames": ["pineconeApi"],
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"id": "pinecone_0-input-credential-credential"
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},
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{
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"label": "Pinecone Index",
|
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"name": "pineconeIndex",
|
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"label": "Base Path to load",
|
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"name": "basePath",
|
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"description": "Path to load faiss.index file",
|
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"placeholder": "C:\\Users\\User\\Desktop",
|
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"type": "string",
|
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"id": "pinecone_0-input-pineconeIndex-string"
|
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},
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{
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"label": "Pinecone Namespace",
|
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"name": "pineconeNamespace",
|
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"type": "string",
|
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"placeholder": "my-first-namespace",
|
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"additionalParams": true,
|
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"optional": true,
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"id": "pinecone_0-input-pineconeNamespace-string"
|
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},
|
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{
|
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"label": "Pinecone Metadata Filter",
|
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"name": "pineconeMetadataFilter",
|
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"type": "json",
|
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"optional": true,
|
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"additionalParams": true,
|
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"id": "pinecone_0-input-pineconeMetadataFilter-json"
|
||||
"id": "faiss_0-input-basePath-string"
|
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},
|
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{
|
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"label": "Top K",
|
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@@ -591,46 +399,7 @@
|
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"type": "number",
|
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"additionalParams": true,
|
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"optional": true,
|
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"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"
|
||||
"id": "faiss_0-input-topK-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
@@ -640,43 +409,41 @@
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-document-Document"
|
||||
"id": "faiss_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "pinecone_0-input-embeddings-Embeddings"
|
||||
"id": "faiss_0-input-embeddings-Embeddings"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": ["{{textFile_0.data.instance}}"],
|
||||
"document": ["{{textFile_0.data.instance}}", "{{documentStore_0.data.instance}}"],
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
||||
"pineconeIndex": "",
|
||||
"pineconeNamespace": "",
|
||||
"pineconeMetadataFilter": "",
|
||||
"topK": "",
|
||||
"searchType": "similarity",
|
||||
"fetchK": "",
|
||||
"lambda": ""
|
||||
"basePath": "",
|
||||
"topK": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"description": "",
|
||||
"options": [
|
||||
{
|
||||
"id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"id": "faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Pinecone Retriever",
|
||||
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
||||
"label": "Faiss Retriever",
|
||||
"description": "",
|
||||
"type": "Faiss | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
|
||||
"id": "faiss_0-output-vectorStore-Faiss|SaveableVectorStore|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Pinecone Vector Store",
|
||||
"type": "Pinecone | VectorStore"
|
||||
"label": "Faiss Vector Store",
|
||||
"description": "",
|
||||
"type": "Faiss | SaveableVectorStore | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
@@ -687,12 +454,265 @@
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 459,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1192.4771449209463,
|
||||
"y": 552.43946147251
|
||||
"x": 1193.61786387649,
|
||||
"y": 559.055052045731
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "documentStore_0",
|
||||
"position": {
|
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"x": 785.3020265031932,
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"y": -215.72424937010018
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},
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||||
"type": "customNode",
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"data": {
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||||
"id": "documentStore_0",
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||||
"label": "Document Store",
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||||
"version": 1,
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||||
"name": "documentStore",
|
||||
"type": "Document",
|
||||
"baseClasses": ["Document"],
|
||||
"category": "Document Loaders",
|
||||
"description": "Load data from pre-configured document stores",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Select Store",
|
||||
"name": "selectedStore",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listStores",
|
||||
"id": "documentStore_0-input-selectedStore-asyncOptions"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"selectedStore": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"description": "Array of document objects containing metadata and pageContent",
|
||||
"options": [
|
||||
{
|
||||
"id": "documentStore_0-output-document-Document|json",
|
||||
"name": "document",
|
||||
"label": "Document",
|
||||
"description": "Array of document objects containing metadata and pageContent",
|
||||
"type": "Document | json"
|
||||
},
|
||||
{
|
||||
"id": "documentStore_0-output-text-string|json",
|
||||
"name": "text",
|
||||
"label": "Text",
|
||||
"description": "Concatenated string from pageContent of documents",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "document"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "document"
|
||||
},
|
||||
"selected": false
|
||||
},
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||||
"width": 300,
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||||
"height": 312,
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||||
"selected": false,
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||||
"positionAbsolute": {
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||||
"x": 785.3020265031932,
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||||
"y": -215.72424937010018
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||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "stickyNote_0",
|
||||
"position": {
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||||
"x": 1546.6369661154768,
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||||
"y": -107.3962162381467
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||||
},
|
||||
"type": "stickyNote",
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||||
"data": {
|
||||
"id": "stickyNote_0",
|
||||
"label": "Sticky Note",
|
||||
"version": 2,
|
||||
"name": "stickyNote",
|
||||
"type": "StickyNote",
|
||||
"baseClasses": ["StickyNote"],
|
||||
"tags": ["Utilities"],
|
||||
"category": "Utilities",
|
||||
"description": "Add a sticky note",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "",
|
||||
"name": "note",
|
||||
"type": "string",
|
||||
"rows": 1,
|
||||
"placeholder": "Type something here",
|
||||
"optional": true,
|
||||
"id": "stickyNote_0-input-note-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "Conversational Retrieval QA Chain composes of 2 chains:\n\n1. A chain to rephrase user question using previous conversations\n2. A chain to provide response based on the context fetched from vector store.\n\nWhy is the need for rephrasing question?\nThis is to ensure that a follow-up question can be asked. For example:\n\n- What is the address of the Bakery shop?\n- What about the opening time?\n\nA rephrased question will be:\n- What is the opening time of the Bakery shop?\n\nThis ensure a better search to vector store, hence better output quality.\n"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
||||
"name": "stickyNote",
|
||||
"label": "StickyNote",
|
||||
"description": "Add a sticky note",
|
||||
"type": "StickyNote"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 465,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1546.6369661154768,
|
||||
"y": -107.3962162381467
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "chatMistralAI_0",
|
||||
"position": {
|
||||
"x": 1185.9624817228073,
|
||||
"y": -60.75719138037451
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatMistralAI_0",
|
||||
"label": "ChatMistralAI",
|
||||
"version": 3,
|
||||
"name": "chatMistralAI",
|
||||
"type": "ChatMistralAI",
|
||||
"baseClasses": ["ChatMistralAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around Mistral large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["mistralAIApi"],
|
||||
"id": "chatMistralAI_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "mistral-tiny",
|
||||
"id": "chatMistralAI_0-input-modelName-asyncOptions"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"description": "What sampling temperature to use, between 0.0 and 1.0. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.",
|
||||
"step": 0.1,
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatMistralAI_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Output Tokens",
|
||||
"name": "maxOutputTokens",
|
||||
"type": "number",
|
||||
"description": "The maximum number of tokens to generate in the completion.",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatMistralAI_0-input-maxOutputTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"description": "Nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatMistralAI_0-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Random Seed",
|
||||
"name": "randomSeed",
|
||||
"type": "number",
|
||||
"description": "The seed to use for random sampling. If set, different calls will generate deterministic results.",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatMistralAI_0-input-randomSeed-number"
|
||||
},
|
||||
{
|
||||
"label": "Safe Mode",
|
||||
"name": "safeMode",
|
||||
"type": "boolean",
|
||||
"description": "Whether to inject a safety prompt before all conversations.",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatMistralAI_0-input-safeMode-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Override Endpoint",
|
||||
"name": "overrideEndpoint",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatMistralAI_0-input-overrideEndpoint-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatMistralAI_0-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"cache": "",
|
||||
"modelName": "mistral-tiny",
|
||||
"temperature": 0.9,
|
||||
"maxOutputTokens": "",
|
||||
"topP": "",
|
||||
"randomSeed": "",
|
||||
"safeMode": "",
|
||||
"overrideEndpoint": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatMistralAI_0-output-chatMistralAI-ChatMistralAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatMistralAI",
|
||||
"label": "ChatMistralAI",
|
||||
"description": "Wrapper around Mistral large language models that use the Chat endpoint",
|
||||
"type": "ChatMistralAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 574,
|
||||
"positionAbsolute": {
|
||||
"x": 1185.9624817228073,
|
||||
"y": -60.75719138037451
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
@@ -710,46 +730,42 @@
|
||||
{
|
||||
"source": "textFile_0",
|
||||
"sourceHandle": "textFile_0-output-document-Document|json",
|
||||
"target": "pinecone_0",
|
||||
"targetHandle": "pinecone_0-input-document-Document",
|
||||
"target": "faiss_0",
|
||||
"targetHandle": "faiss_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "textFile_0-textFile_0-output-document-Document|json-pinecone_0-pinecone_0-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
"id": "textFile_0-textFile_0-output-document-Document|json-faiss_0-faiss_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "pinecone_0",
|
||||
"targetHandle": "pinecone_0-input-embeddings-Embeddings",
|
||||
"target": "faiss_0",
|
||||
"targetHandle": "faiss_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pinecone_0-pinecone_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-faiss_0-faiss_0-input-embeddings-Embeddings"
|
||||
},
|
||||
{
|
||||
"source": "pinecone_0",
|
||||
"sourceHandle": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"source": "documentStore_0",
|
||||
"sourceHandle": "documentStore_0-output-document-Document|json",
|
||||
"target": "faiss_0",
|
||||
"targetHandle": "faiss_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "documentStore_0-documentStore_0-output-document-Document|json-faiss_0-faiss_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"source": "faiss_0",
|
||||
"sourceHandle": "faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pinecone_0-pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
"id": "faiss_0-faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"source": "chatMistralAI_0",
|
||||
"sourceHandle": "chatMistralAI_0-output-chatMistralAI-ChatMistralAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"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-BaseChatModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
"id": "chatMistralAI_0-chatMistralAI_0-output-chatMistralAI-ChatMistralAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user