mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-25 03:00:54 +03:00
1204 lines
54 KiB
JSON
1204 lines
54 KiB
JSON
{
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"description": "Breaks down query into sub questions for each relevant data source, then combine into final response",
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"categories": "Sub Question Query Engine,Sticky Note,QueryEngine Tool,Compact and Refine,ChatOpenAI,Pinecone,LlamaIndex",
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"framework": "LlamaIndex",
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"badge": "NEW",
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"nodes": [
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{
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"width": 300,
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"height": 749,
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"id": "compactrefineLlamaIndex_0",
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"position": {
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"x": -1214.7329938486841,
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"y": 56.52482754447425
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},
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|
"type": "customNode",
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|
"data": {
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"id": "compactrefineLlamaIndex_0",
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"label": "Compact and Refine",
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"version": 1,
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"name": "compactrefineLlamaIndex",
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"type": "CompactRefine",
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"baseClasses": ["CompactRefine", "ResponseSynthesizer"],
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"tags": ["LlamaIndex"],
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"category": "Response Synthesizer",
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"description": "CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.",
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"inputParams": [
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{
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"label": "Refine Prompt",
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"name": "refinePrompt",
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"type": "string",
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"rows": 4,
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"default": "The original query is as follows: {query}\nWe have provided an existing answer: {existingAnswer}\nWe have the opportunity to refine the existing answer (only if needed) with some more context below.\n------------\n{context}\n------------\nGiven the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.\nRefined Answer:",
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"warning": "Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}",
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"optional": true,
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"id": "compactrefineLlamaIndex_0-input-refinePrompt-string"
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},
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{
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"label": "Text QA Prompt",
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"name": "textQAPrompt",
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"type": "string",
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"rows": 4,
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"default": "Context information is below.\n---------------------\n{context}\n---------------------\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}\nAnswer:",
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"warning": "Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}",
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"optional": true,
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"id": "compactrefineLlamaIndex_0-input-textQAPrompt-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"refinePrompt": "A user has selected a set of SEC filing documents and has asked a question about them.\nThe SEC documents have the following titles:\n- Apple Inc (APPL) FORM 10K 2022\n- Tesla Inc (TSLA) FORM 10K 2022\nThe original query is as follows: {query}\nWe have provided an existing answer: {existingAnswer}\nWe have the opportunity to refine the existing answer (only if needed) with some more context below.\n------------\n{context}\n------------\nGiven the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.\nRefined Answer:",
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"textQAPrompt": "A user has selected a set of SEC filing documents and has asked a question about them.\nThe SEC documents have the following titles:\n- Apple Inc (APPL) FORM 10K 2022\n- Tesla Inc (TSLA) FORM 10K 2022\nContext information is below.\n---------------------\n{context}\n---------------------\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}\nAnswer:"
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},
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"outputAnchors": [
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{
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"id": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
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"name": "compactrefineLlamaIndex",
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"label": "CompactRefine",
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"type": "CompactRefine | ResponseSynthesizer"
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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": -1214.7329938486841,
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"y": 56.52482754447425
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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": 611,
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"id": "pineconeLlamaIndex_0",
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"position": {
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"x": 37.23548045607484,
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"y": -119.7364648743818
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},
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"type": "customNode",
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"data": {
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"id": "pineconeLlamaIndex_0",
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"label": "Pinecone",
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"version": 1,
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"name": "pineconeLlamaIndex",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorIndexRetriever"],
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"tags": ["LlamaIndex"],
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"category": "Vector Stores",
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"description": "Upsert embedded data and perform similarity search upon query 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": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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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"optional": true,
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"id": "pineconeLlamaIndex_0-input-document-Document"
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},
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{
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"label": "Chat Model",
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"name": "model",
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"type": "BaseChatModel_LlamaIndex",
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"id": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
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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": "BaseEmbedding_LlamaIndex",
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"id": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
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}
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],
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"inputs": {
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"document": [],
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"model": "{{chatOpenAI_LlamaIndex_0.data.instance}}",
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"embeddings": "{{openAIEmbedding_LlamaIndex_0.data.instance}}",
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"pineconeIndex": "flowiseindex",
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"pineconeNamespace": "pinecone-form10k",
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"pineconeMetadataFilter": "{\"source\":\"tesla\"}",
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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": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever",
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"name": "retriever",
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"label": "Pinecone Retriever",
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"type": "Pinecone | VectorIndexRetriever"
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},
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{
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"id": "pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex",
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"name": "vectorStore",
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"label": "Pinecone Vector Store Index",
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"type": "Pinecone | VectorStoreIndex"
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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": "vectorStore"
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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": 37.23548045607484,
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"y": -119.7364648743818
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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": 529,
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"id": "chatOpenAI_LlamaIndex_0",
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"position": {
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"x": -455.232655468177,
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"y": -711.0080711676725
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},
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"type": "customNode",
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"data": {
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"id": "chatOpenAI_LlamaIndex_0",
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"label": "ChatOpenAI",
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"version": 1,
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"name": "chatOpenAI_LlamaIndex",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel_LlamaIndex", "BaseLLM"],
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"tags": ["LlamaIndex"],
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"category": "Chat Models",
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"description": "Wrapper around OpenAI Chat LLM specific for LlamaIndex",
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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_LlamaIndex_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": "options",
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"options": [
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{
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"label": "gpt-4",
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"name": "gpt-4"
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},
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{
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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},
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{
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"label": "gpt-4-0613",
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"name": "gpt-4-0613"
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},
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{
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"label": "gpt-4-32k",
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"name": "gpt-4-32k"
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},
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{
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"label": "gpt-4-32k-0613",
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"name": "gpt-4-32k-0613"
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},
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{
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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},
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{
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"label": "gpt-3.5-turbo-0613",
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"name": "gpt-3.5-turbo-0613"
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},
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{
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"label": "gpt-3.5-turbo-16k",
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"name": "gpt-3.5-turbo-16k"
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},
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{
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"label": "gpt-3.5-turbo-16k-0613",
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"name": "gpt-3.5-turbo-16k-0613"
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}
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],
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"default": "gpt-3.5-turbo",
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"optional": true,
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"id": "chatOpenAI_LlamaIndex_0-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"step": 0.1,
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"default": 0.9,
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"optional": true,
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"id": "chatOpenAI_LlamaIndex_0-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_LlamaIndex_0-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_LlamaIndex_0-input-topP-number"
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},
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{
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"label": "Timeout",
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|
"name": "timeout",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_LlamaIndex_0-input-timeout-number"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"modelName": "gpt-3.5-turbo-16k",
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"temperature": "0",
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"maxTokens": "",
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"topP": "",
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"timeout": ""
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},
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"outputAnchors": [
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{
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"id": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
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"name": "chatOpenAI_LlamaIndex",
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"label": "ChatOpenAI",
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"type": "ChatOpenAI | BaseChatModel_LlamaIndex | BaseLLM"
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}
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],
|
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"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": -455.232655468177,
|
|
"y": -711.0080711676725
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
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"width": 300,
|
|
"height": 334,
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"id": "openAIEmbedding_LlamaIndex_0",
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"position": {
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"x": -451.0082548287243,
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"y": -127.15143353229783
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},
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|
"type": "customNode",
|
|
"data": {
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"id": "openAIEmbedding_LlamaIndex_0",
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"label": "OpenAI Embedding",
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"version": 1,
|
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"name": "openAIEmbedding_LlamaIndex",
|
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"type": "OpenAIEmbedding",
|
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"baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
|
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"tags": ["LlamaIndex"],
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"category": "Embeddings",
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"description": "OpenAI Embedding specific for LlamaIndex",
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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": "openAIEmbedding_LlamaIndex_0-input-credential-credential"
|
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},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbedding_LlamaIndex_0-input-timeout-number"
|
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},
|
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{
|
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"label": "BasePath",
|
|
"name": "basepath",
|
|
"type": "string",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbedding_LlamaIndex_0-input-basepath-string"
|
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}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"timeout": "",
|
|
"basepath": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
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"name": "openAIEmbedding_LlamaIndex",
|
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"label": "OpenAIEmbedding",
|
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"type": "OpenAIEmbedding | BaseEmbedding_LlamaIndex | BaseEmbedding"
|
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}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"dragging": false,
|
|
"positionAbsolute": {
|
|
"x": -451.0082548287243,
|
|
"y": -127.15143353229783
|
|
}
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 511,
|
|
"id": "queryEngineToolLlamaIndex_0",
|
|
"position": {
|
|
"x": 460.37559236135905,
|
|
"y": -565.6224030941121
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "queryEngineToolLlamaIndex_0",
|
|
"label": "QueryEngine Tool",
|
|
"version": 1,
|
|
"name": "queryEngineToolLlamaIndex",
|
|
"type": "QueryEngineTool",
|
|
"baseClasses": ["QueryEngineTool"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Tools",
|
|
"description": "Execute actions using ChatGPT Plugin Url",
|
|
"inputParams": [
|
|
{
|
|
"label": "Tool Name",
|
|
"name": "toolName",
|
|
"type": "string",
|
|
"description": "Tool name must be small capital letter with underscore. Ex: my_tool",
|
|
"id": "queryEngineToolLlamaIndex_0-input-toolName-string"
|
|
},
|
|
{
|
|
"label": "Tool Description",
|
|
"name": "toolDesc",
|
|
"type": "string",
|
|
"rows": 4,
|
|
"id": "queryEngineToolLlamaIndex_0-input-toolDesc-string"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Vector Store Index",
|
|
"name": "vectorStoreIndex",
|
|
"type": "VectorStoreIndex",
|
|
"id": "queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"vectorStoreIndex": "{{pineconeLlamaIndex_1.data.instance}}",
|
|
"toolName": "apple_tool",
|
|
"toolDesc": "A SEC Form 10K filing describing the financials of Apple Inc (APPL) for the 2022 time period."
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
|
"name": "queryEngineToolLlamaIndex",
|
|
"label": "QueryEngineTool",
|
|
"type": "QueryEngineTool"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 460.37559236135905,
|
|
"y": -565.6224030941121
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 611,
|
|
"id": "pineconeLlamaIndex_1",
|
|
"position": {
|
|
"x": 42.17855025460784,
|
|
"y": -839.8824444107056
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "pineconeLlamaIndex_1",
|
|
"label": "Pinecone",
|
|
"version": 1,
|
|
"name": "pineconeLlamaIndex",
|
|
"type": "Pinecone",
|
|
"baseClasses": ["Pinecone", "VectorIndexRetriever"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Vector Stores",
|
|
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["pineconeApi"],
|
|
"id": "pineconeLlamaIndex_1-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Pinecone Index",
|
|
"name": "pineconeIndex",
|
|
"type": "string",
|
|
"id": "pineconeLlamaIndex_1-input-pineconeIndex-string"
|
|
},
|
|
{
|
|
"label": "Pinecone Namespace",
|
|
"name": "pineconeNamespace",
|
|
"type": "string",
|
|
"placeholder": "my-first-namespace",
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "pineconeLlamaIndex_1-input-pineconeNamespace-string"
|
|
},
|
|
{
|
|
"label": "Pinecone Metadata Filter",
|
|
"name": "pineconeMetadataFilter",
|
|
"type": "json",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "pineconeLlamaIndex_1-input-pineconeMetadataFilter-json"
|
|
},
|
|
{
|
|
"label": "Top K",
|
|
"name": "topK",
|
|
"description": "Number of top results to fetch. Default to 4",
|
|
"placeholder": "4",
|
|
"type": "number",
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "pineconeLlamaIndex_1-input-topK-number"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Document",
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|
"name": "document",
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|
"type": "Document",
|
|
"list": true,
|
|
"optional": true,
|
|
"id": "pineconeLlamaIndex_1-input-document-Document"
|
|
},
|
|
{
|
|
"label": "Chat Model",
|
|
"name": "model",
|
|
"type": "BaseChatModel_LlamaIndex",
|
|
"id": "pineconeLlamaIndex_1-input-model-BaseChatModel_LlamaIndex"
|
|
},
|
|
{
|
|
"label": "Embeddings",
|
|
"name": "embeddings",
|
|
"type": "BaseEmbedding_LlamaIndex",
|
|
"id": "pineconeLlamaIndex_1-input-embeddings-BaseEmbedding_LlamaIndex"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"document": [],
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|
"model": "{{chatOpenAI_LlamaIndex_0.data.instance}}",
|
|
"embeddings": "{{openAIEmbedding_LlamaIndex_0.data.instance}}",
|
|
"pineconeIndex": "flowiseindex",
|
|
"pineconeNamespace": "pinecone-form10k",
|
|
"pineconeMetadataFilter": "{\"source\":\"apple\"}",
|
|
"topK": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"name": "output",
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|
"label": "Output",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"id": "pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever",
|
|
"name": "retriever",
|
|
"label": "Pinecone Retriever",
|
|
"type": "Pinecone | VectorIndexRetriever"
|
|
},
|
|
{
|
|
"id": "pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex",
|
|
"name": "vectorStore",
|
|
"label": "Pinecone Vector Store Index",
|
|
"type": "Pinecone | VectorStoreIndex"
|
|
}
|
|
],
|
|
"default": "retriever"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"output": "vectorStore"
|
|
},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 42.17855025460784,
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|
"y": -839.8824444107056
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|
},
|
|
"dragging": false
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|
},
|
|
{
|
|
"width": 300,
|
|
"height": 511,
|
|
"id": "queryEngineToolLlamaIndex_1",
|
|
"position": {
|
|
"x": 462.16721384216123,
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|
"y": -17.750065363429798
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|
},
|
|
"type": "customNode",
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|
"data": {
|
|
"id": "queryEngineToolLlamaIndex_1",
|
|
"label": "QueryEngine Tool",
|
|
"version": 1,
|
|
"name": "queryEngineToolLlamaIndex",
|
|
"type": "QueryEngineTool",
|
|
"baseClasses": ["QueryEngineTool"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Tools",
|
|
"description": "Execute actions using ChatGPT Plugin Url",
|
|
"inputParams": [
|
|
{
|
|
"label": "Tool Name",
|
|
"name": "toolName",
|
|
"type": "string",
|
|
"description": "Tool name must be small capital letter with underscore. Ex: my_tool",
|
|
"id": "queryEngineToolLlamaIndex_1-input-toolName-string"
|
|
},
|
|
{
|
|
"label": "Tool Description",
|
|
"name": "toolDesc",
|
|
"type": "string",
|
|
"rows": 4,
|
|
"id": "queryEngineToolLlamaIndex_1-input-toolDesc-string"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Vector Store Index",
|
|
"name": "vectorStoreIndex",
|
|
"type": "VectorStoreIndex",
|
|
"id": "queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"vectorStoreIndex": "{{pineconeLlamaIndex_0.data.instance}}",
|
|
"toolName": "tesla_tool",
|
|
"toolDesc": "A SEC Form 10K filing describing the financials of Tesla Inc (TSLA) for the 2022 time period."
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
|
"name": "queryEngineToolLlamaIndex",
|
|
"label": "QueryEngineTool",
|
|
"type": "QueryEngineTool"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 462.16721384216123,
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|
"y": -17.750065363429798
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 484,
|
|
"id": "subQuestionQueryEngine_0",
|
|
"position": {
|
|
"x": 982.7583030231563,
|
|
"y": 349.50858200305896
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|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "subQuestionQueryEngine_0",
|
|
"label": "Sub Question Query Engine",
|
|
"version": 1,
|
|
"name": "subQuestionQueryEngine",
|
|
"type": "SubQuestionQueryEngine",
|
|
"baseClasses": ["SubQuestionQueryEngine"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Engine",
|
|
"description": "Simple query engine built to answer question over your data, without memory",
|
|
"inputParams": [
|
|
{
|
|
"label": "Return Source Documents",
|
|
"name": "returnSourceDocuments",
|
|
"type": "boolean",
|
|
"optional": true,
|
|
"id": "subQuestionQueryEngine_0-input-returnSourceDocuments-boolean"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "QueryEngine Tools",
|
|
"name": "queryEngineTools",
|
|
"type": "QueryEngineTool",
|
|
"list": true,
|
|
"id": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
|
},
|
|
{
|
|
"label": "Chat Model",
|
|
"name": "model",
|
|
"type": "BaseChatModel_LlamaIndex",
|
|
"id": "subQuestionQueryEngine_0-input-model-BaseChatModel_LlamaIndex"
|
|
},
|
|
{
|
|
"label": "Embeddings",
|
|
"name": "embeddings",
|
|
"type": "BaseEmbedding_LlamaIndex",
|
|
"id": "subQuestionQueryEngine_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
|
},
|
|
{
|
|
"label": "Response Synthesizer",
|
|
"name": "responseSynthesizer",
|
|
"type": "ResponseSynthesizer",
|
|
"description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/low_level/response_synthesizer\">more</a>",
|
|
"optional": true,
|
|
"id": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"queryEngineTools": ["{{queryEngineToolLlamaIndex_1.data.instance}}", "{{queryEngineToolLlamaIndex_0.data.instance}}"],
|
|
"model": "{{chatOpenAI_LlamaIndex_1.data.instance}}",
|
|
"embeddings": "{{openAIEmbedding_LlamaIndex_1.data.instance}}",
|
|
"responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
|
|
"returnSourceDocuments": true
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "subQuestionQueryEngine_0-output-subQuestionQueryEngine-SubQuestionQueryEngine",
|
|
"name": "subQuestionQueryEngine",
|
|
"label": "SubQuestionQueryEngine",
|
|
"type": "SubQuestionQueryEngine"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 982.7583030231563,
|
|
"y": 349.50858200305896
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 529,
|
|
"id": "chatOpenAI_LlamaIndex_1",
|
|
"position": {
|
|
"x": -846.9087470244615,
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|
"y": 23.446501495097493
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|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "chatOpenAI_LlamaIndex_1",
|
|
"label": "ChatOpenAI",
|
|
"version": 1,
|
|
"name": "chatOpenAI_LlamaIndex",
|
|
"type": "ChatOpenAI",
|
|
"baseClasses": ["ChatOpenAI", "BaseChatModel_LlamaIndex", "BaseLLM"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Chat Models",
|
|
"description": "Wrapper around OpenAI Chat LLM specific for LlamaIndex",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["openAIApi"],
|
|
"id": "chatOpenAI_LlamaIndex_1-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Model Name",
|
|
"name": "modelName",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "gpt-4",
|
|
"name": "gpt-4"
|
|
},
|
|
{
|
|
"label": "gpt-4-1106-preview",
|
|
"name": "gpt-4-1106-preview"
|
|
},
|
|
{
|
|
"label": "gpt-4-vision-preview",
|
|
"name": "gpt-4-vision-preview"
|
|
},
|
|
{
|
|
"label": "gpt-4-0613",
|
|
"name": "gpt-4-0613"
|
|
},
|
|
{
|
|
"label": "gpt-4-32k",
|
|
"name": "gpt-4-32k"
|
|
},
|
|
{
|
|
"label": "gpt-4-32k-0613",
|
|
"name": "gpt-4-32k-0613"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo",
|
|
"name": "gpt-3.5-turbo"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-1106",
|
|
"name": "gpt-3.5-turbo-1106"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-0613",
|
|
"name": "gpt-3.5-turbo-0613"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-16k",
|
|
"name": "gpt-3.5-turbo-16k"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-16k-0613",
|
|
"name": "gpt-3.5-turbo-16k-0613"
|
|
}
|
|
],
|
|
"default": "gpt-3.5-turbo",
|
|
"optional": true,
|
|
"id": "chatOpenAI_LlamaIndex_1-input-modelName-options"
|
|
},
|
|
{
|
|
"label": "Temperature",
|
|
"name": "temperature",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"default": 0.9,
|
|
"optional": true,
|
|
"id": "chatOpenAI_LlamaIndex_1-input-temperature-number"
|
|
},
|
|
{
|
|
"label": "Max Tokens",
|
|
"name": "maxTokens",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_LlamaIndex_1-input-maxTokens-number"
|
|
},
|
|
{
|
|
"label": "Top Probability",
|
|
"name": "topP",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_LlamaIndex_1-input-topP-number"
|
|
},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_LlamaIndex_1-input-timeout-number"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"modelName": "gpt-3.5-turbo-16k",
|
|
"temperature": "0",
|
|
"maxTokens": "",
|
|
"topP": "",
|
|
"timeout": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "chatOpenAI_LlamaIndex_1-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
|
"name": "chatOpenAI_LlamaIndex",
|
|
"label": "ChatOpenAI",
|
|
"type": "ChatOpenAI | BaseChatModel_LlamaIndex | BaseLLM"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": -846.9087470244615,
|
|
"y": 23.446501495097493
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 334,
|
|
"id": "openAIEmbedding_LlamaIndex_1",
|
|
"position": {
|
|
"x": -437.3136244622061,
|
|
"y": 329.99986619821175
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|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "openAIEmbedding_LlamaIndex_1",
|
|
"label": "OpenAI Embedding",
|
|
"version": 1,
|
|
"name": "openAIEmbedding_LlamaIndex",
|
|
"type": "OpenAIEmbedding",
|
|
"baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
|
|
"tags": ["LlamaIndex"],
|
|
"category": "Embeddings",
|
|
"description": "OpenAI Embedding specific for LlamaIndex",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["openAIApi"],
|
|
"id": "openAIEmbedding_LlamaIndex_1-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbedding_LlamaIndex_1-input-timeout-number"
|
|
},
|
|
{
|
|
"label": "BasePath",
|
|
"name": "basepath",
|
|
"type": "string",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbedding_LlamaIndex_1-input-basepath-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"timeout": "",
|
|
"basepath": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "openAIEmbedding_LlamaIndex_1-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
|
"name": "openAIEmbedding_LlamaIndex",
|
|
"label": "OpenAIEmbedding",
|
|
"type": "OpenAIEmbedding | BaseEmbedding_LlamaIndex | BaseEmbedding"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"dragging": false,
|
|
"positionAbsolute": {
|
|
"x": -437.3136244622061,
|
|
"y": 329.99986619821175
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|
}
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 82,
|
|
"id": "stickyNote_0",
|
|
"position": {
|
|
"x": 35.90892935132143,
|
|
"y": -936.1282632923861
|
|
},
|
|
"type": "stickyNote",
|
|
"data": {
|
|
"id": "stickyNote_0",
|
|
"label": "Sticky Note",
|
|
"version": 1,
|
|
"name": "stickyNote",
|
|
"type": "StickyNote",
|
|
"baseClasses": ["StickyNote"],
|
|
"category": "Utilities",
|
|
"description": "Add a sticky note",
|
|
"inputParams": [
|
|
{
|
|
"label": "",
|
|
"name": "note",
|
|
"type": "string",
|
|
"rows": 1,
|
|
"placeholder": "Type something here",
|
|
"optional": true,
|
|
"id": "stickyNote_0-input-note-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"apple\"}"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
|
"name": "stickyNote",
|
|
"label": "StickyNote",
|
|
"type": "StickyNote"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 35.90892935132143,
|
|
"y": -936.1282632923861
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 82,
|
|
"id": "stickyNote_1",
|
|
"position": {
|
|
"x": 37.74909394815296,
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|
"y": -215.17456133022054
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|
},
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|
"type": "stickyNote",
|
|
"data": {
|
|
"id": "stickyNote_1",
|
|
"label": "Sticky Note",
|
|
"version": 1,
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|
"name": "stickyNote",
|
|
"type": "StickyNote",
|
|
"baseClasses": ["StickyNote"],
|
|
"category": "Utilities",
|
|
"description": "Add a sticky note",
|
|
"inputParams": [
|
|
{
|
|
"label": "",
|
|
"name": "note",
|
|
"type": "string",
|
|
"rows": 1,
|
|
"placeholder": "Type something here",
|
|
"optional": true,
|
|
"id": "stickyNote_1-input-note-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"tesla\"}"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "stickyNote_1-output-stickyNote-StickyNote",
|
|
"name": "stickyNote",
|
|
"label": "StickyNote",
|
|
"type": "StickyNote"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 37.74909394815296,
|
|
"y": -215.17456133022054
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|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 163,
|
|
"id": "stickyNote_2",
|
|
"position": {
|
|
"x": 984.9543031068163,
|
|
"y": 171.04264459503852
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|
},
|
|
"type": "stickyNote",
|
|
"data": {
|
|
"id": "stickyNote_2",
|
|
"label": "Sticky Note",
|
|
"version": 1,
|
|
"name": "stickyNote",
|
|
"type": "StickyNote",
|
|
"baseClasses": ["StickyNote"],
|
|
"category": "Utilities",
|
|
"description": "Add a sticky note",
|
|
"inputParams": [
|
|
{
|
|
"label": "",
|
|
"name": "note",
|
|
"type": "string",
|
|
"rows": 1,
|
|
"placeholder": "Type something here",
|
|
"optional": true,
|
|
"id": "stickyNote_2-input-note-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"note": "Break questions into subqueries, then retrieve corresponding context using queryengine tool.\n\nThis implementation does not contains memory, we can use OpenAI Agent to function call this flow"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "stickyNote_2-output-stickyNote-StickyNote",
|
|
"name": "stickyNote",
|
|
"label": "StickyNote",
|
|
"type": "StickyNote"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 984.9543031068163,
|
|
"y": 171.04264459503852
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|
},
|
|
"dragging": false
|
|
}
|
|
],
|
|
"edges": [
|
|
{
|
|
"source": "chatOpenAI_LlamaIndex_0",
|
|
"sourceHandle": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
|
"target": "pineconeLlamaIndex_1",
|
|
"targetHandle": "pineconeLlamaIndex_1-input-model-BaseChatModel_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_1-pineconeLlamaIndex_1-input-model-BaseChatModel_LlamaIndex"
|
|
},
|
|
{
|
|
"source": "openAIEmbedding_LlamaIndex_0",
|
|
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
|
"target": "pineconeLlamaIndex_1",
|
|
"targetHandle": "pineconeLlamaIndex_1-input-embeddings-BaseEmbedding_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_1-pineconeLlamaIndex_1-input-embeddings-BaseEmbedding_LlamaIndex"
|
|
},
|
|
{
|
|
"source": "pineconeLlamaIndex_1",
|
|
"sourceHandle": "pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex",
|
|
"target": "queryEngineToolLlamaIndex_0",
|
|
"targetHandle": "queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex",
|
|
"type": "buttonedge",
|
|
"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex-queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex"
|
|
},
|
|
{
|
|
"source": "pineconeLlamaIndex_0",
|
|
"sourceHandle": "pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex",
|
|
"target": "queryEngineToolLlamaIndex_1",
|
|
"targetHandle": "queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex",
|
|
"type": "buttonedge",
|
|
"id": "pineconeLlamaIndex_0-pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex-queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex"
|
|
},
|
|
{
|
|
"source": "queryEngineToolLlamaIndex_1",
|
|
"sourceHandle": "queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
|
"target": "subQuestionQueryEngine_0",
|
|
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
|
|
"type": "buttonedge",
|
|
"id": "queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
|
},
|
|
{
|
|
"source": "queryEngineToolLlamaIndex_0",
|
|
"sourceHandle": "queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
|
"target": "subQuestionQueryEngine_0",
|
|
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
|
|
"type": "buttonedge",
|
|
"id": "queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
|
},
|
|
{
|
|
"source": "chatOpenAI_LlamaIndex_1",
|
|
"sourceHandle": "chatOpenAI_LlamaIndex_1-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
|
"target": "subQuestionQueryEngine_0",
|
|
"targetHandle": "subQuestionQueryEngine_0-input-model-BaseChatModel_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_LlamaIndex_1-chatOpenAI_LlamaIndex_1-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-model-BaseChatModel_LlamaIndex"
|
|
},
|
|
{
|
|
"source": "openAIEmbedding_LlamaIndex_1",
|
|
"sourceHandle": "openAIEmbedding_LlamaIndex_1-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
|
"target": "subQuestionQueryEngine_0",
|
|
"targetHandle": "subQuestionQueryEngine_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "openAIEmbedding_LlamaIndex_1-openAIEmbedding_LlamaIndex_1-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
|
},
|
|
{
|
|
"source": "compactrefineLlamaIndex_0",
|
|
"sourceHandle": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
|
|
"target": "subQuestionQueryEngine_0",
|
|
"targetHandle": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer",
|
|
"type": "buttonedge",
|
|
"id": "compactrefineLlamaIndex_0-compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
|
|
},
|
|
{
|
|
"source": "openAIEmbedding_LlamaIndex_0",
|
|
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
|
"target": "pineconeLlamaIndex_0",
|
|
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
|
},
|
|
{
|
|
"source": "chatOpenAI_LlamaIndex_0",
|
|
"sourceHandle": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
|
"target": "pineconeLlamaIndex_0",
|
|
"targetHandle": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
|
|
}
|
|
]
|
|
}
|