{
"description": "Breaks down query into sub questions for each relevant data source, then combine into final response",
"usecases": ["SQL"],
"framework": ["LlamaIndex"],
"nodes": [
{
"width": 300,
"height": 749,
"id": "compactrefineLlamaIndex_0",
"position": {
"x": -443.9012456561584,
"y": 826.6100190232154
},
"type": "customNode",
"data": {
"id": "compactrefineLlamaIndex_0",
"label": "Compact and Refine",
"version": 1,
"name": "compactrefineLlamaIndex",
"type": "CompactRefine",
"baseClasses": ["CompactRefine", "ResponseSynthesizer"],
"tags": ["LlamaIndex"],
"category": "Response Synthesizer",
"description": "CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.",
"inputParams": [
{
"label": "Refine Prompt",
"name": "refinePrompt",
"type": "string",
"rows": 4,
"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:",
"warning": "Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}",
"optional": true,
"id": "compactrefineLlamaIndex_0-input-refinePrompt-string"
},
{
"label": "Text QA Prompt",
"name": "textQAPrompt",
"type": "string",
"rows": 4,
"default": "Context information is below.\n---------------------\n{context}\n---------------------\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}\nAnswer:",
"warning": "Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}",
"optional": true,
"id": "compactrefineLlamaIndex_0-input-textQAPrompt-string"
}
],
"inputAnchors": [],
"inputs": {
"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:",
"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:"
},
"outputAnchors": [
{
"id": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
"name": "compactrefineLlamaIndex",
"label": "CompactRefine",
"type": "CompactRefine | ResponseSynthesizer"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": -443.9012456561584,
"y": 826.6100190232154
},
"dragging": false
},
{
"width": 300,
"height": 611,
"id": "pineconeLlamaIndex_0",
"position": {
"x": 35.45798119088212,
"y": -132.1789597307308
},
"type": "customNode",
"data": {
"id": "pineconeLlamaIndex_0",
"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_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeLlamaIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"id": "pineconeLlamaIndex_0-input-pineconeNamespace-string"
},
{
"label": "Pinecone Metadata Filter",
"name": "pineconeMetadataFilter",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pineconeLlamaIndex_0-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_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"optional": true,
"id": "pineconeLlamaIndex_0-input-document-Document"
},
{
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel_LlamaIndex",
"id": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "BaseEmbedding_LlamaIndex",
"id": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
}
],
"inputs": {
"document": [],
"model": "{{chatOpenAI_LlamaIndex_0.data.instance}}",
"embeddings": "{{openAIEmbedding_LlamaIndex_0.data.instance}}",
"pineconeIndex": "flowiseindex",
"pineconeNamespace": "pinecone-form10k",
"pineconeMetadataFilter": "{\"source\":\"tesla\"}",
"topK": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorIndexRetriever"
},
{
"id": "pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex",
"name": "vectorStore",
"label": "Pinecone Vector Store Index",
"type": "Pinecone | VectorStoreIndex"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 35.45798119088212,
"y": -132.1789597307308
},
"dragging": false
},
{
"width": 300,
"height": 529,
"id": "chatOpenAI_LlamaIndex_0",
"position": {
"x": -455.232655468177,
"y": -711.0080711676725
},
"type": "customNode",
"data": {
"id": "chatOpenAI_LlamaIndex_0",
"label": "ChatOpenAI",
"version": 2.0,
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "asyncOptions",
"loadMethod": "listModels",
"default": "gpt-3.5-turbo",
"id": "chatOpenAI_LlamaIndex_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_LlamaIndex_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_LlamaIndex_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_LlamaIndex_0-input-topP-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_LlamaIndex_0-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo-16k",
"temperature": "0",
"maxTokens": "",
"topP": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
"name": "chatOpenAI_LlamaIndex",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel_LlamaIndex | BaseLLM"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": -455.232655468177,
"y": -711.0080711676725
},
"dragging": false
},
{
"width": 300,
"height": 334,
"id": "openAIEmbedding_LlamaIndex_0",
"position": {
"x": -451.0082548287243,
"y": -127.15143353229783
},
"type": "customNode",
"data": {
"id": "openAIEmbedding_LlamaIndex_0",
"label": "OpenAI Embedding",
"version": 2,
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "asyncOptions",
"loadMethod": "listModels",
"default": "text-embedding-ada-002",
"id": "openAIEmbedding_LlamaIndex_0-input-modelName-options"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbedding_LlamaIndex_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbedding_LlamaIndex_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"timeout": "",
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
"id": "openAIEmbedding_LlamaIndex_0-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": -451.0082548287243,
"y": -127.15143353229783
}
},
{
"width": 300,
"height": 611,
"id": "pineconeLlamaIndex_1",
"position": {
"x": 43.95604951980056,
"y": -783.0024679245387
},
"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",
"name": "document",
"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": [],
"model": "{{chatOpenAI_LlamaIndex_0.data.instance}}",
"embeddings": "{{openAIEmbedding_LlamaIndex_0.data.instance}}",
"pineconeIndex": "flowiseindex",
"pineconeNamespace": "pinecone-form10k",
"pineconeMetadataFilter": "{\"source\":\"apple\"}",
"topK": ""
},
"outputAnchors": [
{
"name": "output",
"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": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 43.95604951980056,
"y": -783.0024679245387
},
"dragging": false
},
{
"width": 300,
"height": 529,
"id": "chatOpenAI_LlamaIndex_1",
"position": {
"x": -446.80851289432655,
"y": 246.8790997755625
},
"type": "customNode",
"data": {
"id": "chatOpenAI_LlamaIndex_1",
"label": "ChatOpenAI",
"version": 2.0,
"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": "asyncOptions",
"loadMethod": "listModels",
"default": "gpt-3.5-turbo",
"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": -446.80851289432655,
"y": 246.8790997755625
},
"dragging": false
},
{
"width": 300,
"height": 334,
"id": "openAIEmbedding_LlamaIndex_1",
"position": {
"x": -37.812177549447284,
"y": 577.9112529482311
},
"type": "customNode",
"data": {
"id": "openAIEmbedding_LlamaIndex_1",
"label": "OpenAI Embedding",
"version": 2,
"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": "Model Name",
"name": "modelName",
"type": "asyncOptions",
"loadMethod": "listModels",
"default": "text-embedding-ada-002",
"id": "openAIEmbedding_LlamaIndex_1-input-modelName-options"
},
{
"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": "",
"modelName": "text-embedding-ada-002"
},
"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": -37.812177549447284,
"y": 577.9112529482311
}
},
{
"width": 300,
"height": 382,
"id": "queryEngine_0",
"position": {
"x": 416.2466817793368,
"y": -600.1335182096643
},
"type": "customNode",
"data": {
"id": "queryEngine_0",
"label": "Query Engine",
"version": 2,
"name": "queryEngine",
"type": "QueryEngine",
"baseClasses": ["QueryEngine", "BaseQueryEngine"],
"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": "queryEngine_0-input-returnSourceDocuments-boolean"
}
],
"inputAnchors": [
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "VectorIndexRetriever",
"id": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever"
},
{
"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 more",
"optional": true,
"id": "queryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
}
],
"inputs": {
"vectorStoreRetriever": "{{pineconeLlamaIndex_1.data.instance}}",
"responseSynthesizer": "",
"returnSourceDocuments": ""
},
"outputAnchors": [
{
"id": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
"name": "queryEngine",
"label": "QueryEngine",
"description": "Simple query engine built to answer question over your data, without memory",
"type": "QueryEngine | BaseQueryEngine"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 416.2466817793368,
"y": -600.1335182096643
},
"dragging": false
},
{
"width": 300,
"height": 511,
"id": "queryEngineToolLlamaIndex_2",
"position": {
"x": 766.9839000102993,
"y": -654.6926410455919
},
"type": "customNode",
"data": {
"id": "queryEngineToolLlamaIndex_2",
"label": "QueryEngine Tool",
"version": 2,
"name": "queryEngineToolLlamaIndex",
"type": "QueryEngineTool",
"baseClasses": ["QueryEngineTool"],
"tags": ["LlamaIndex"],
"category": "Tools",
"description": "Tool used to invoke query engine",
"inputParams": [
{
"label": "Tool Name",
"name": "toolName",
"type": "string",
"description": "Tool name must be small capital letter with underscore. Ex: my_tool",
"id": "queryEngineToolLlamaIndex_2-input-toolName-string"
},
{
"label": "Tool Description",
"name": "toolDesc",
"type": "string",
"rows": 4,
"id": "queryEngineToolLlamaIndex_2-input-toolDesc-string"
}
],
"inputAnchors": [
{
"label": "Base QueryEngine",
"name": "baseQueryEngine",
"type": "BaseQueryEngine",
"id": "queryEngineToolLlamaIndex_2-input-baseQueryEngine-BaseQueryEngine"
}
],
"inputs": {
"baseQueryEngine": "{{queryEngine_0.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_2-output-queryEngineToolLlamaIndex-QueryEngineTool",
"name": "queryEngineToolLlamaIndex",
"label": "QueryEngineTool",
"description": "Tool used to invoke query engine",
"type": "QueryEngineTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 766.9839000102993,
"y": -654.6926410455919
},
"dragging": false
},
{
"width": 300,
"height": 511,
"id": "queryEngineToolLlamaIndex_1",
"position": {
"x": 771.5434180813253,
"y": -109.03650423344013
},
"type": "customNode",
"data": {
"id": "queryEngineToolLlamaIndex_1",
"label": "QueryEngine Tool",
"version": 2,
"name": "queryEngineToolLlamaIndex",
"type": "QueryEngineTool",
"baseClasses": ["QueryEngineTool"],
"tags": ["LlamaIndex"],
"category": "Tools",
"description": "Tool used to invoke query engine",
"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": "Base QueryEngine",
"name": "baseQueryEngine",
"type": "BaseQueryEngine",
"id": "queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine"
}
],
"inputs": {
"baseQueryEngine": "{{queryEngine_1.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",
"description": "Tool used to invoke query engine",
"type": "QueryEngineTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 771.5434180813253,
"y": -109.03650423344013
},
"dragging": false
},
{
"width": 300,
"height": 382,
"id": "queryEngine_1",
"position": {
"x": 411.8632262885343,
"y": -68.91392354277994
},
"type": "customNode",
"data": {
"id": "queryEngine_1",
"label": "Query Engine",
"version": 2,
"name": "queryEngine",
"type": "QueryEngine",
"baseClasses": ["QueryEngine", "BaseQueryEngine"],
"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": "queryEngine_1-input-returnSourceDocuments-boolean"
}
],
"inputAnchors": [
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "VectorIndexRetriever",
"id": "queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever"
},
{
"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 more",
"optional": true,
"id": "queryEngine_1-input-responseSynthesizer-ResponseSynthesizer"
}
],
"inputs": {
"vectorStoreRetriever": "{{pineconeLlamaIndex_0.data.instance}}",
"responseSynthesizer": "",
"returnSourceDocuments": ""
},
"outputAnchors": [
{
"id": "queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine",
"name": "queryEngine",
"label": "QueryEngine",
"description": "Simple query engine built to answer question over your data, without memory",
"type": "QueryEngine | BaseQueryEngine"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 411.8632262885343,
"y": -68.91392354277994
},
"dragging": false
},
{
"width": 300,
"height": 484,
"id": "subQuestionQueryEngine_0",
"position": {
"x": 1204.489328490966,
"y": 347.2090726754211
},
"type": "customNode",
"data": {
"id": "subQuestionQueryEngine_0",
"label": "Sub Question Query Engine",
"version": 2,
"name": "subQuestionQueryEngine",
"type": "SubQuestionQueryEngine",
"baseClasses": ["SubQuestionQueryEngine", "BaseQueryEngine"],
"tags": ["LlamaIndex"],
"category": "Engine",
"description": "Breaks complex query into sub questions for each relevant data source, then gather all the intermediate reponses and synthesizes a final response",
"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 more",
"optional": true,
"id": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
}
],
"inputs": {
"queryEngineTools": ["{{queryEngineToolLlamaIndex_2.data.instance}}", "{{queryEngineToolLlamaIndex_1.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|BaseQueryEngine",
"name": "subQuestionQueryEngine",
"label": "SubQuestionQueryEngine",
"description": "Breaks complex query into sub questions for each relevant data source, then gather all the intermediate reponses and synthesizes a final response",
"type": "SubQuestionQueryEngine | BaseQueryEngine"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1204.489328490966,
"y": 347.2090726754211
},
"dragging": false
},
{
"width": 300,
"height": 82,
"id": "stickyNote_0",
"position": {
"x": 1208.1786832265154,
"y": 238.26647262900994
},
"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": "Break questions into subqueries, then retrieve corresponding context using queryengine tools"
},
"outputAnchors": [
{
"id": "stickyNote_0-output-stickyNote-StickyNote",
"name": "stickyNote",
"label": "StickyNote",
"description": "Add a sticky note",
"type": "StickyNote"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1208.1786832265154,
"y": 238.26647262900994
},
"dragging": false
},
{
"width": 300,
"height": 82,
"id": "stickyNote_1",
"position": {
"x": 416.8958270395809,
"y": -179.9680840754678
},
"type": "stickyNote",
"data": {
"id": "stickyNote_1",
"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_1-input-note-string"
}
],
"inputAnchors": [],
"inputs": {
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"\"}"
},
"outputAnchors": [
{
"id": "stickyNote_1-output-stickyNote-StickyNote",
"name": "stickyNote",
"label": "StickyNote",
"description": "Add a sticky note",
"type": "StickyNote"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 416.8958270395809,
"y": -179.9680840754678
},
"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": "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"
},
{
"source": "pineconeLlamaIndex_1",
"sourceHandle": "pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever",
"target": "queryEngine_0",
"targetHandle": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever",
"type": "buttonedge",
"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever-queryEngine_0-queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever"
},
{
"source": "queryEngine_0",
"sourceHandle": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
"target": "queryEngineToolLlamaIndex_2",
"targetHandle": "queryEngineToolLlamaIndex_2-input-baseQueryEngine-BaseQueryEngine",
"type": "buttonedge",
"id": "queryEngine_0-queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine-queryEngineToolLlamaIndex_2-queryEngineToolLlamaIndex_2-input-baseQueryEngine-BaseQueryEngine"
},
{
"source": "pineconeLlamaIndex_0",
"sourceHandle": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever",
"target": "queryEngine_1",
"targetHandle": "queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever",
"type": "buttonedge",
"id": "pineconeLlamaIndex_0-pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever-queryEngine_1-queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever"
},
{
"source": "queryEngine_1",
"sourceHandle": "queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine",
"target": "queryEngineToolLlamaIndex_1",
"targetHandle": "queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine",
"type": "buttonedge",
"id": "queryEngine_1-queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine-queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine"
},
{
"source": "queryEngineToolLlamaIndex_2",
"sourceHandle": "queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool",
"target": "subQuestionQueryEngine_0",
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
"type": "buttonedge",
"id": "queryEngineToolLlamaIndex_2-queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
},
{
"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": "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"
}
]
}