mirror of
https://github.com/farcasclaudiu/Flowise.git
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a107aa7a77
* Enhancement: Update issue templates and add new tools - Updated bug report template to include a default label of 'bug'. - Updated feature request template to include a default label of 'enhancement'. - Added new credential class for Agentflow API. - Enhanced Agent and HTTP nodes to improve tool management and error handling. - Added deprecation badges to several agent and chain classes. - Introduced new tools for handling requests (GET, POST, DELETE, PUT) with improved error handling. - Added new chatflows and agentflows for various use cases, including document QnA and translation. - Updated UI components for better handling of agent flows and marketplace interactions. - Refactored utility functions for improved functionality and clarity. * Refactor: Remove beta badge and streamline template title assignment - Removed the 'BETA' badge from the ExtractMetadataRetriever class. - Simplified the title assignment in the agentflowv2 generator by using a variable instead of inline string manipulation.
1271 lines
54 KiB
JSON
1271 lines
54 KiB
JSON
{
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"description": "Tool agent that can retrieve answers from multiple sources using relevant Retriever Tools",
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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": 606,
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"id": "pinecone_0",
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"position": {
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"x": 417.52955058511066,
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"y": -148.13795216290424
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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": 3,
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"name": "pinecone",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "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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"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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"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"
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},
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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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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-topK-number"
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},
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{
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"label": "Search Type",
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"name": "searchType",
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"type": "options",
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"default": "similarity",
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"options": [
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{
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"label": "Similarity",
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"name": "similarity"
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},
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{
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"label": "Max Marginal Relevance",
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"name": "mmr"
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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": "pinecone_0-input-searchType-options"
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},
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{
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"label": "Fetch K (for MMR Search)",
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"name": "fetchK",
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"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
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"placeholder": "20",
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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-fetchK-number"
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},
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{
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"label": "Lambda (for MMR Search)",
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"name": "lambda",
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"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",
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"placeholder": "0.5",
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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-lambda-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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"optional": true,
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"id": "pinecone_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": "pinecone_0-input-embeddings-Embeddings"
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},
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{
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"label": "Record Manager",
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"name": "recordManager",
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"type": "RecordManager",
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"description": "Keep track of the record to prevent duplication",
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"optional": true,
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"id": "pinecone_0-input-recordManager-RecordManager"
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}
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],
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"inputs": {
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"document": "",
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"embeddings": "{{openAIEmbeddings_0.data.instance}}",
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"recordManager": "",
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"pineconeIndex": "newindex",
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"pineconeNamespace": "pinecone-form10k",
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"pineconeMetadataFilter": "{\"source\":\"apple\"}",
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"topK": "",
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"searchType": "similarity",
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"fetchK": "",
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"lambda": ""
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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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"description": "",
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"options": [
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{
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"id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Pinecone Retriever",
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"description": "",
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"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
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"name": "vectorStore",
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"label": "Pinecone Vector Store",
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"description": "",
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"type": "Pinecone | 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": 417.52955058511066,
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"y": -148.13795216290424
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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": 424,
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"id": "openAIEmbeddings_0",
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"position": {
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"x": 54.119166092646566,
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"y": -20.12821243199312
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},
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"type": "customNode",
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"data": {
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"id": "openAIEmbeddings_0",
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"label": "OpenAI Embeddings",
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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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"category": "Embeddings",
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"description": "OpenAI API to generate embeddings for a given text",
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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": "openAIEmbeddings_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": "text-embedding-ada-002",
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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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"name": "stripNewLines",
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"type": "boolean",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
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},
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{
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"label": "Batch Size",
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"name": "batchSize",
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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-batchSize-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": "openAIEmbeddings_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": "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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"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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"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": 54.119166092646566,
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"y": -20.12821243199312
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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": 606,
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"id": "pinecone_1",
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"position": {
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"x": 432.73419795865834,
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"y": 517.3146695730651
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},
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"type": "customNode",
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"data": {
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"id": "pinecone_1",
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"label": "Pinecone",
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"version": 3,
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"name": "pinecone",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "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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|
"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_1-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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|
"type": "string",
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"id": "pinecone_1-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_1-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_1-input-pineconeMetadataFilter-json"
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},
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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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"additionalParams": true,
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"optional": true,
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"id": "pinecone_1-input-topK-number"
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},
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{
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|
"label": "Search Type",
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|
"name": "searchType",
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|
"type": "options",
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|
"default": "similarity",
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|
"options": [
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|
{
|
|
"label": "Similarity",
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|
"name": "similarity"
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|
},
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|
{
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|
"label": "Max Marginal Relevance",
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|
"name": "mmr"
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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": "pinecone_1-input-searchType-options"
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},
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{
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|
"label": "Fetch K (for MMR Search)",
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|
"name": "fetchK",
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"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
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|
"placeholder": "20",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_1-input-fetchK-number"
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},
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{
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"label": "Lambda (for MMR Search)",
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"name": "lambda",
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"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",
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"placeholder": "0.5",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_1-input-lambda-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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"optional": true,
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"id": "pinecone_1-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": "pinecone_1-input-embeddings-Embeddings"
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},
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{
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"label": "Record Manager",
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|
"name": "recordManager",
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|
"type": "RecordManager",
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"description": "Keep track of the record to prevent duplication",
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|
"optional": true,
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"id": "pinecone_1-input-recordManager-RecordManager"
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}
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],
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"inputs": {
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"document": "",
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"embeddings": "{{openAIEmbeddings_1.data.instance}}",
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"recordManager": "",
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"pineconeIndex": "newindex",
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"pineconeNamespace": "pinecone-form10k-2",
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"pineconeMetadataFilter": "{\"source\":\"tesla\"}",
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"topK": "",
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"searchType": "similarity",
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"fetchK": "",
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"lambda": ""
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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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"description": "",
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"options": [
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{
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"id": "pinecone_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Pinecone Retriever",
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"description": "",
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"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "pinecone_1-output-vectorStore-Pinecone|VectorStore",
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"name": "vectorStore",
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"label": "Pinecone Vector Store",
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"description": "",
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"type": "Pinecone | 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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"dragging": false
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{
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"width": 300,
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"id": "openAIEmbeddings_1",
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},
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"data": {
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"id": "openAIEmbeddings_1",
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"label": "OpenAI Embeddings",
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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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"category": "Embeddings",
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|
"description": "OpenAI API to generate embeddings for a given text",
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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": "openAIEmbeddings_1-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": "text-embedding-ada-002",
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|
"id": "openAIEmbeddings_1-input-modelName-asyncOptions"
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|
},
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|
{
|
|
"label": "Strip New Lines",
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|
"name": "stripNewLines",
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|
"type": "boolean",
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|
"optional": true,
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|
"additionalParams": true,
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|
"id": "openAIEmbeddings_1-input-stripNewLines-boolean"
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},
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{
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|
"label": "Batch Size",
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|
"name": "batchSize",
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"type": "number",
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"optional": true,
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|
"additionalParams": true,
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|
"id": "openAIEmbeddings_1-input-batchSize-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": "openAIEmbeddings_1-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": "openAIEmbeddings_1-input-basepath-string"
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},
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|
{
|
|
"label": "Dimensions",
|
|
"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_1-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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"dimensions": ""
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},
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"outputAnchors": [
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{
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"id": "openAIEmbeddings_1-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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"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": 58.45057557109914,
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"y": 575.7733202609951
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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": 253,
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"id": "bufferMemory_0",
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"position": {
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"x": 805.4218592927105,
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"type": "customNode",
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"data": {
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"id": "bufferMemory_0",
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"label": "Buffer Memory",
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"version": 2,
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"name": "bufferMemory",
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|
"type": "BufferMemory",
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|
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
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|
"category": "Memory",
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|
"description": "Retrieve chat messages stored in database",
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|
"inputParams": [
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|
{
|
|
"label": "Session Id",
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|
"name": "sessionId",
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|
"type": "string",
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|
"description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
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"default": "",
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"additionalParams": true,
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"optional": true,
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"id": "bufferMemory_0-input-sessionId-string"
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},
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|
{
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|
"label": "Memory Key",
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|
"name": "memoryKey",
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|
"type": "string",
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|
"default": "chat_history",
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|
"additionalParams": true,
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|
"id": "bufferMemory_0-input-memoryKey-string"
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|
}
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|
],
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"inputAnchors": [],
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"inputs": {
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|
"sessionId": "",
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|
"memoryKey": "chat_history"
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|
},
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|
"outputAnchors": [
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|
{
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|
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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|
"name": "bufferMemory",
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|
"label": "BufferMemory",
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|
"description": "Retrieve chat messages stored in database",
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|
"type": "BufferMemory | BaseChatMemory | BaseMemory"
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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": 805.4218592927105,
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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": 603,
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"id": "retrieverTool_2",
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"position": {
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"x": 798.3128281367018,
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"y": -151.77659673435184
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},
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"type": "customNode",
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"data": {
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"id": "retrieverTool_2",
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"label": "Retriever Tool",
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"version": 2,
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|
"name": "retrieverTool",
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|
"type": "RetrieverTool",
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|
"baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
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|
"category": "Tools",
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|
"description": "Use a retriever as allowed tool for agent",
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|
"inputParams": [
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|
{
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|
"label": "Retriever Name",
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|
"name": "name",
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|
"type": "string",
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|
"placeholder": "search_state_of_union",
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|
"id": "retrieverTool_2-input-name-string"
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|
},
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|
{
|
|
"label": "Retriever Description",
|
|
"name": "description",
|
|
"type": "string",
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|
"description": "When should agent uses to retrieve documents",
|
|
"rows": 3,
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|
"placeholder": "Searches and returns documents regarding the state-of-the-union.",
|
|
"id": "retrieverTool_2-input-description-string"
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},
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|
{
|
|
"label": "Return Source Documents",
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|
"name": "returnSourceDocuments",
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|
"type": "boolean",
|
|
"optional": true,
|
|
"id": "retrieverTool_2-input-returnSourceDocuments-boolean"
|
|
}
|
|
],
|
|
"inputAnchors": [
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|
{
|
|
"label": "Retriever",
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|
"name": "retriever",
|
|
"type": "BaseRetriever",
|
|
"id": "retrieverTool_2-input-retriever-BaseRetriever"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"name": "search_apple",
|
|
"description": "Use this function to answer user questions about Apple Inc (APPL). It contains a SEC Form 10K filing describing the financials of Apple Inc (APPL) for the 2022 time period.",
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|
"retriever": "{{pinecone_0.data.instance}}",
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|
"returnSourceDocuments": true
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|
},
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|
"outputAnchors": [
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|
{
|
|
"id": "retrieverTool_2-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
|
|
"name": "retrieverTool",
|
|
"label": "RetrieverTool",
|
|
"type": "RetrieverTool | DynamicTool | Tool | StructuredTool | Runnable"
|
|
}
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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": 798.3128281367018,
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"y": -151.77659673435184
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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": 603,
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"id": "retrieverTool_1",
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"position": {
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"x": 805.1192462354428,
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"y": 479.4961512574057
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},
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"type": "customNode",
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"data": {
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|
"id": "retrieverTool_1",
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|
"label": "Retriever Tool",
|
|
"version": 2,
|
|
"name": "retrieverTool",
|
|
"type": "RetrieverTool",
|
|
"baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
|
|
"category": "Tools",
|
|
"description": "Use a retriever as allowed tool for agent",
|
|
"inputParams": [
|
|
{
|
|
"label": "Retriever Name",
|
|
"name": "name",
|
|
"type": "string",
|
|
"placeholder": "search_state_of_union",
|
|
"id": "retrieverTool_1-input-name-string"
|
|
},
|
|
{
|
|
"label": "Retriever Description",
|
|
"name": "description",
|
|
"type": "string",
|
|
"description": "When should agent uses to retrieve documents",
|
|
"rows": 3,
|
|
"placeholder": "Searches and returns documents regarding the state-of-the-union.",
|
|
"id": "retrieverTool_1-input-description-string"
|
|
},
|
|
{
|
|
"label": "Return Source Documents",
|
|
"name": "returnSourceDocuments",
|
|
"type": "boolean",
|
|
"optional": true,
|
|
"id": "retrieverTool_1-input-returnSourceDocuments-boolean"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Retriever",
|
|
"name": "retriever",
|
|
"type": "BaseRetriever",
|
|
"id": "retrieverTool_1-input-retriever-BaseRetriever"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"name": "search_tsla",
|
|
"description": "Use this function to answer user questions about Tesla Inc (TSLA). It contains a SEC Form 10K filing describing the financials of Tesla Inc (TSLA) for the 2022 time period.",
|
|
"retriever": "{{pinecone_1.data.instance}}",
|
|
"returnSourceDocuments": true
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "retrieverTool_1-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
|
|
"name": "retrieverTool",
|
|
"label": "RetrieverTool",
|
|
"type": "RetrieverTool | DynamicTool | Tool | StructuredTool | Runnable"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
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|
"x": 805.1192462354428,
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|
"y": 479.4961512574057
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},
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|
"dragging": false
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|
},
|
|
{
|
|
"id": "chatOpenAI_0",
|
|
"position": {
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|
"x": 1160.0862472447252,
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"y": 605.506982115898
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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",
|
|
"version": 6,
|
|
"name": "chatOpenAI",
|
|
"type": "ChatOpenAI",
|
|
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
|
"category": "Chat Models",
|
|
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["openAIApi"],
|
|
"id": "chatOpenAI_0-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Model Name",
|
|
"name": "modelName",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listModels",
|
|
"default": "gpt-3.5-turbo",
|
|
"id": "chatOpenAI_0-input-modelName-asyncOptions"
|
|
},
|
|
{
|
|
"label": "Temperature",
|
|
"name": "temperature",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"default": 0.9,
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-temperature-number"
|
|
},
|
|
{
|
|
"label": "Max Tokens",
|
|
"name": "maxTokens",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-maxTokens-number"
|
|
},
|
|
{
|
|
"label": "Top Probability",
|
|
"name": "topP",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-topP-number"
|
|
},
|
|
{
|
|
"label": "Frequency Penalty",
|
|
"name": "frequencyPenalty",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
|
},
|
|
{
|
|
"label": "Presence Penalty",
|
|
"name": "presencePenalty",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-presencePenalty-number"
|
|
},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-timeout-number"
|
|
},
|
|
{
|
|
"label": "BasePath",
|
|
"name": "basepath",
|
|
"type": "string",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-basepath-string"
|
|
},
|
|
{
|
|
"label": "BaseOptions",
|
|
"name": "baseOptions",
|
|
"type": "json",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-baseOptions-json"
|
|
},
|
|
{
|
|
"label": "Allow Image Uploads",
|
|
"name": "allowImageUploads",
|
|
"type": "boolean",
|
|
"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",
|
|
"default": false,
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-allowImageUploads-boolean"
|
|
},
|
|
{
|
|
"label": "Image Resolution",
|
|
"description": "This parameter controls the resolution in which the model views the image.",
|
|
"name": "imageResolution",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "Low",
|
|
"name": "low"
|
|
},
|
|
{
|
|
"label": "High",
|
|
"name": "high"
|
|
},
|
|
{
|
|
"label": "Auto",
|
|
"name": "auto"
|
|
}
|
|
],
|
|
"default": "low",
|
|
"optional": false,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-imageResolution-options"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Cache",
|
|
"name": "cache",
|
|
"type": "BaseCache",
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-cache-BaseCache"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"cache": "",
|
|
"modelName": "gpt-3.5-turbo",
|
|
"temperature": 0.9,
|
|
"maxTokens": "",
|
|
"topP": "",
|
|
"frequencyPenalty": "",
|
|
"presencePenalty": "",
|
|
"timeout": "",
|
|
"basepath": "",
|
|
"baseOptions": "",
|
|
"allowImageUploads": "",
|
|
"imageResolution": "low"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"name": "chatOpenAI",
|
|
"label": "ChatOpenAI",
|
|
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
|
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"width": 300,
|
|
"height": 670,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 1160.0862472447252,
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|
"y": 605.506982115898
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "toolAgent_0",
|
|
"position": {
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|
"x": 1557.897498996615,
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"y": 415.17324915263646
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|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "toolAgent_0",
|
|
"label": "Tool Agent",
|
|
"version": 1,
|
|
"name": "toolAgent",
|
|
"type": "AgentExecutor",
|
|
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
|
|
"category": "Agents",
|
|
"description": "Agent that uses Function Calling to pick the tools and args to call",
|
|
"inputParams": [
|
|
{
|
|
"label": "System Message",
|
|
"name": "systemMessage",
|
|
"type": "string",
|
|
"default": "You are a helpful AI assistant.",
|
|
"rows": 4,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "toolAgent_0-input-systemMessage-string"
|
|
},
|
|
{
|
|
"label": "Max Iterations",
|
|
"name": "maxIterations",
|
|
"type": "number",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "toolAgent_0-input-maxIterations-number"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Tools",
|
|
"name": "tools",
|
|
"type": "Tool",
|
|
"list": true,
|
|
"id": "toolAgent_0-input-tools-Tool"
|
|
},
|
|
{
|
|
"label": "Memory",
|
|
"name": "memory",
|
|
"type": "BaseChatMemory",
|
|
"id": "toolAgent_0-input-memory-BaseChatMemory"
|
|
},
|
|
{
|
|
"label": "Tool Calling Chat Model",
|
|
"name": "model",
|
|
"type": "BaseChatModel",
|
|
"description": "Only compatible with models that are capable of function calling: ChatOpenAI, ChatMistral, ChatAnthropic, ChatGoogleGenerativeAI, ChatVertexAI, GroqChat",
|
|
"id": "toolAgent_0-input-model-BaseChatModel"
|
|
},
|
|
{
|
|
"label": "Input Moderation",
|
|
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
|
|
"name": "inputModeration",
|
|
"type": "Moderation",
|
|
"optional": true,
|
|
"list": true,
|
|
"id": "toolAgent_0-input-inputModeration-Moderation"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"tools": ["{{retrieverTool_1.data.instance}}", "{{retrieverTool_2.data.instance}}"],
|
|
"memory": "{{bufferMemory_0.data.instance}}",
|
|
"model": "{{chatOpenAI_0.data.instance}}",
|
|
"systemMessage": "You are a helpful AI assistant.",
|
|
"inputModeration": "",
|
|
"maxIterations": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "toolAgent_0-output-toolAgent-AgentExecutor|BaseChain|Runnable",
|
|
"name": "toolAgent",
|
|
"label": "AgentExecutor",
|
|
"description": "Agent that uses Function Calling to pick the tools and args to call",
|
|
"type": "AgentExecutor | BaseChain | Runnable"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"width": 300,
|
|
"height": 435,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 1557.897498996615,
|
|
"y": 415.17324915263646
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "stickyNote_0",
|
|
"position": {
|
|
"x": 412.4825307414748,
|
|
"y": -350.94571995872616
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|
},
|
|
"type": "stickyNote",
|
|
"data": {
|
|
"id": "stickyNote_0",
|
|
"label": "Sticky Note",
|
|
"version": 2,
|
|
"name": "stickyNote",
|
|
"type": "StickyNote",
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|
"baseClasses": ["StickyNote"],
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"outputs": {},
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"inputs": {
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"note": "Similarly, metadata filtering is limited to:\n\n{ source: tesla }\n\nto ensure only specific embeddings to be fetched"
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{
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],
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"outputs": {},
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"tags": ["Utilities"],
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}
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"inputAnchors": [],
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"inputs": {
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"note": "Depending on user question, Tool Agent will able to decide which tool to use, OR using both tools."
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},
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"outputAnchors": [
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{
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"id": "stickyNote_2-output-stickyNote-StickyNote",
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"edges": [
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{
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"source": "openAIEmbeddings_0",
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},
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{
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"source": "pinecone_0",
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"target": "retrieverTool_2",
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"targetHandle": "retrieverTool_2-input-retriever-BaseRetriever",
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},
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{
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"targetHandle": "retrieverTool_1-input-retriever-BaseRetriever",
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"type": "buttonedge",
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},
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{
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"source": "bufferMemory_0",
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|
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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"target": "toolAgent_0",
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|
"targetHandle": "toolAgent_0-input-memory-BaseChatMemory",
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"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-toolAgent_0-toolAgent_0-input-memory-BaseChatMemory"
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},
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{
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"source": "retrieverTool_1",
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"target": "toolAgent_0",
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"type": "buttonedge",
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"id": "retrieverTool_1-retrieverTool_1-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable-toolAgent_0-toolAgent_0-input-tools-Tool"
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},
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{
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},
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{
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"source": "chatOpenAI_0",
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"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
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"target": "toolAgent_0",
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|
"targetHandle": "toolAgent_0-input-model-BaseChatModel",
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-toolAgent_0-toolAgent_0-input-model-BaseChatModel"
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}
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]
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}
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