mirror of https://github.com/FlowiseAI/Flowise.git
871 lines
37 KiB
JSON
871 lines
37 KiB
JSON
{
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"description": "Flowise Docs Github QnA using Retrieval Augmented Generation (RAG)",
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"badge": "POPULAR",
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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": 378,
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"id": "markdownTextSplitter_0",
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"position": {
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"x": 1081.1540334344143,
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"y": -113.73571627207801
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},
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"type": "customNode",
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"data": {
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"id": "markdownTextSplitter_0",
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"label": "Markdown Text Splitter",
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"version": 1,
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"name": "markdownTextSplitter",
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"type": "MarkdownTextSplitter",
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"baseClasses": ["MarkdownTextSplitter", "RecursiveCharacterTextSplitter", "TextSplitter", "BaseDocumentTransformer"],
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"category": "Text Splitters",
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"description": "Split your content into documents based on the Markdown headers",
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"inputParams": [
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{
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"label": "Chunk Size",
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"name": "chunkSize",
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"type": "number",
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"default": 1000,
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"optional": true,
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"id": "markdownTextSplitter_0-input-chunkSize-number"
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},
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{
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"label": "Chunk Overlap",
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"name": "chunkOverlap",
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"type": "number",
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"optional": true,
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"id": "markdownTextSplitter_0-input-chunkOverlap-number"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"chunkSize": "4000",
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"chunkOverlap": ""
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},
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"outputAnchors": [
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{
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"id": "markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
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"name": "markdownTextSplitter",
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"label": "MarkdownTextSplitter",
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"type": "MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
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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": 1081.1540334344143,
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"y": -113.73571627207801
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},
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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": 407,
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"id": "memoryVectorStore_0",
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"position": {
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"x": 1844.88052464165,
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"y": 484.60473328470243
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},
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"type": "customNode",
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"data": {
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"id": "memoryVectorStore_0",
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"label": "In-Memory Vector Store",
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"version": 1,
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"name": "memoryVectorStore",
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"type": "Memory",
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"baseClasses": ["Memory", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
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"inputParams": [
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{
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"label": "Top K",
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"name": "topK",
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"description": "Number of top results to fetch. Default to 4",
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"placeholder": "4",
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"type": "number",
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"optional": true,
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"id": "memoryVectorStore_0-input-topK-number"
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}
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],
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"inputAnchors": [
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{
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"label": "Document",
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"name": "document",
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"type": "Document",
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"list": true,
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"id": "memoryVectorStore_0-input-document-Document"
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},
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{
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"label": "Embeddings",
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"name": "embeddings",
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"type": "Embeddings",
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"id": "memoryVectorStore_0-input-embeddings-Embeddings"
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}
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],
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"inputs": {
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"document": ["{{github_0.data.instance}}"],
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"embeddings": "{{openAIEmbeddings_0.data.instance}}",
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"topK": ""
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},
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"outputAnchors": [
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{
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"name": "output",
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"label": "Output",
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"type": "options",
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"options": [
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{
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"id": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Memory Retriever",
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"type": "Memory | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "memoryVectorStore_0-output-vectorStore-Memory|VectorStore",
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"name": "vectorStore",
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"label": "Memory Vector Store",
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"type": "Memory | VectorStore"
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}
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],
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"default": "retriever"
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}
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],
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"outputs": {
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"output": "retriever"
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},
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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": 1844.88052464165,
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"y": 484.60473328470243
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},
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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": 532,
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"id": "conversationalRetrievalQAChain_0",
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"position": {
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"x": 2262.1986022669694,
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"y": 229.38589782758842
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},
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"type": "customNode",
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"data": {
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"id": "conversationalRetrievalQAChain_0",
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"label": "Conversational Retrieval QA Chain",
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"version": 3,
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"name": "conversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain",
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"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
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"category": "Chains",
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"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
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"inputParams": [
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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},
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{
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"label": "Rephrase Prompt",
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"name": "rephrasePrompt",
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"type": "string",
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"description": "Using previous chat history, rephrase question into a standalone question",
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"warning": "Prompt must include input variables: {chat_history} and {question}",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
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"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
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},
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{
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"label": "Response Prompt",
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"name": "responsePrompt",
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"type": "string",
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"description": "Taking the rephrased question, search for answer from the provided context",
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"warning": "Prompt must include input variable: {context}",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
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"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
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}
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],
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"inputAnchors": [
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{
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"label": "Chat Model",
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"name": "model",
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"type": "BaseChatModel",
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"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
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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,
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"description": "If left empty, a default BufferMemory will be used",
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"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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},
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{
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"label": "Input Moderation",
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"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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"name": "inputModeration",
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"type": "Moderation",
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"optional": true,
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"list": true,
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"id": "conversationalRetrievalQAChain_0-input-inputModeration-Moderation"
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}
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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": "{{memoryVectorStore_0.data.instance}}",
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"memory": "",
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"returnSourceDocuments": true,
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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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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
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"name": "conversationalRetrievalQAChain",
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"label": "ConversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain | BaseChain | 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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"dragging": false,
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"positionAbsolute": {
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"x": 2262.1986022669694,
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"y": 229.38589782758842
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}
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},
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{
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"width": 300,
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"height": 673,
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"id": "github_0",
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"position": {
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"x": 1460.1858988997,
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"y": -137.83585695472374
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},
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"type": "customNode",
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"data": {
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"id": "github_0",
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"label": "Github",
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"version": 2,
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"name": "github",
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"type": "Document",
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"baseClasses": ["Document"],
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"category": "Document Loaders",
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"description": "Load data from a GitHub repository",
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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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"description": "Only needed when accessing private repo",
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"optional": true,
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"credentialNames": ["githubApi"],
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"id": "github_0-input-credential-credential"
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},
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{
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"label": "Repo Link",
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"name": "repoLink",
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"type": "string",
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"placeholder": "https://github.com/FlowiseAI/Flowise",
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"id": "github_0-input-repoLink-string"
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},
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{
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"label": "Branch",
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"name": "branch",
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"type": "string",
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"default": "main",
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"id": "github_0-input-branch-string"
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},
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{
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"label": "Recursive",
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"name": "recursive",
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"type": "boolean",
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"optional": true,
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"id": "github_0-input-recursive-boolean"
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},
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{
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"label": "Max Concurrency",
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"name": "maxConcurrency",
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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": "github_0-input-maxConcurrency-number"
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},
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{
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"label": "Ignore Paths",
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"name": "ignorePath",
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"type": "string",
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"description": "An array of paths to be ignored",
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"placeholder": "[\"*.md\"]",
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"rows": 4,
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"optional": true,
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"additionalParams": true,
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"id": "github_0-input-ignorePath-string"
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},
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{
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"label": "Max Retries",
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"name": "maxRetries",
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"description": "The maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 2.",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "github_0-input-maxRetries-number"
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},
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{
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"label": "Metadata",
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"name": "metadata",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "github_0-input-metadata-json"
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}
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],
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"inputAnchors": [
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{
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"label": "Text Splitter",
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"name": "textSplitter",
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"type": "TextSplitter",
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"optional": true,
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"id": "github_0-input-textSplitter-TextSplitter"
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}
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],
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"inputs": {
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"repoLink": "https://github.com/FlowiseAI/FlowiseDocs",
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"branch": "main",
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"recursive": true,
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"textSplitter": "{{markdownTextSplitter_0.data.instance}}",
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"metadata": ""
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},
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"outputAnchors": [
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{
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"id": "github_0-output-github-Document",
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"name": "github",
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"label": "Document",
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"type": "Document"
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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": 1460.1858988997,
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"y": -137.83585695472374
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},
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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": 670,
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"id": "chatOpenAI_0",
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"position": {
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"x": 1848.10147093022,
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"y": -213.12507406389523
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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,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
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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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"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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"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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"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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"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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"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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"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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