{ "description": "Breaks down query into sub questions for each relevant data source, then combine into final response", "categories": "Sub Question Query Engine,Sticky Note,QueryEngine Tool,Compact and Refine,ChatOpenAI,Pinecone,LlamaIndex", "framework": "LlamaIndex", "badge": "NEW", "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": 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_0-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_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": 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_0-input-credential-credential" }, { "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": "" }, "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": 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": -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": 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": -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" } ] }