Flowise

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{
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    "description": "Text file QnA using conversational retrieval QA chain",
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    "categories": "TextFile,ChatOpenAI,Conversational Retrieval QA Chain,Pinecone,Langchain",
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    "badge": "POPULAR",
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    "framework": "Langchain",
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    "nodes": [
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        {
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            "width": 300,
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            "height": 329,
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            "id": "openAIEmbeddings_0",
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            "type": "customNode",
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            "data": {
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                "id": "openAIEmbeddings_0",
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                "label": "OpenAI Embeddings",
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                "version": 3,
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                "name": "openAIEmbeddings",
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                "type": "OpenAIEmbeddings",
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                "baseClasses": ["OpenAIEmbeddings", "Embeddings"],
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                "category": "Embeddings",
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                "description": "OpenAI API to generate embeddings for a given text",
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                "inputParams": [
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                    {
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                        "label": "Connect Credential",
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                        "name": "credential",
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                        "type": "credential",
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                        "credentialNames": ["openAIApi"],
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                        "id": "openAIEmbeddings_0-input-credential-credential"
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                    },
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                    {
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                        "label": "Model Name",
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                        "name": "modelName",
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                        "type": "asyncOptions",
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                        "loadMethod": "listModels",
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                        "default": "text-embedding-ada-002",
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                        "id": "openAIEmbeddings_0-input-modelName-options"
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                    },
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                    {
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                        "label": "Strip New Lines",
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                        "name": "stripNewLines",
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                        "type": "boolean",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "openAIEmbeddings_0-input-stripNewLines-boolean"
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                    },
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                    {
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                        "label": "Batch Size",
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                        "name": "batchSize",
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                        "type": "number",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "openAIEmbeddings_0-input-batchSize-number"
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                    },
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                    {
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                        "label": "Timeout",
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                        "name": "timeout",
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                        "type": "number",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "openAIEmbeddings_0-input-timeout-number"
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                    },
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                    {
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                        "label": "BasePath",
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                        "name": "basepath",
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                        "type": "string",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "openAIEmbeddings_0-input-basepath-string"
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                    }
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                ],
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                "inputAnchors": [],
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                "inputs": {
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                    "stripNewLines": "",
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                    "batchSize": "",
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                    "timeout": "",
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                    "basepath": "",
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                    "modelName": "text-embedding-ada-002"
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                },
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                "outputAnchors": [
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                    {
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                        "id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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                        "name": "openAIEmbeddings",
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                        "label": "OpenAIEmbeddings",
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                        "type": "OpenAIEmbeddings | Embeddings"
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                    }
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                ],
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                "outputs": {},
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                "selected": false
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            },
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            "selected": false,
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            "positionAbsolute": {
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                "x": 795.6162477805387,
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                "y": 603.260214150876
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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": 429,
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            "id": "recursiveCharacterTextSplitter_0",
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            "position": {
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                "y": 197.66460328693972
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            },
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            "type": "customNode",
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            "data": {
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                "id": "recursiveCharacterTextSplitter_0",
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                "label": "Recursive Character Text Splitter",
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                "version": 2,
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                "name": "recursiveCharacterTextSplitter",
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                "type": "RecursiveCharacterTextSplitter",
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                "baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
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                "category": "Text Splitters",
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                "description": "Split documents recursively by different characters - starting with \"\\n\\n\", then \"\\n\", then \" \"",
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                "inputParams": [
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                    {
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                        "label": "Chunk Size",
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                        "name": "chunkSize",
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                        "type": "number",
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                        "default": 1000,
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                        "optional": true,
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                        "id": "recursiveCharacterTextSplitter_0-input-chunkSize-number"
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                    },
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                    {
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                        "label": "Chunk Overlap",
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                        "name": "chunkOverlap",
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                        "type": "number",
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                        "optional": true,
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                        "id": "recursiveCharacterTextSplitter_0-input-chunkOverlap-number"
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                    },
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                    {
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                        "label": "Custom Separators",
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                        "name": "separators",
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                        "type": "string",
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                        "rows": 4,
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                        "description": "Array of custom separators to determine when to split the text, will override the default separators",
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                        "placeholder": "[\"|\", \"##\", \">\", \"-\"]",
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                        "additionalParams": true,
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                        "optional": true,
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                        "id": "recursiveCharacterTextSplitter_0-input-separators-string"
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                    }
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                ],
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                "inputAnchors": [],
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                "inputs": {
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                    "chunkSize": 1000,
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                    "chunkOverlap": ""
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                },
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                "outputAnchors": [
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                    {
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                        "id": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
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                        "name": "recursiveCharacterTextSplitter",
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                        "label": "RecursiveCharacterTextSplitter",
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                        "type": "RecursiveCharacterTextSplitter | TextSplitter"
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                    }
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                ],
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                "outputs": {},
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                "selected": false
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            },
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            "selected": false,
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            "dragging": false
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        },
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        {
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            "width": 300,
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            "height": 419,
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            "id": "textFile_0",
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            "position": {
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                "y": 140.09563157584407
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            },
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            "type": "customNode",
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            "data": {
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                "id": "textFile_0",
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                "label": "Text File",
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                "version": 3,
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                "name": "textFile",
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                "type": "Document",
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                "baseClasses": ["Document"],
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                "category": "Document Loaders",
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                "description": "Load data from text files",
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                "inputParams": [
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                    {
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                        "label": "Txt File",
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                        "name": "txtFile",
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                        "type": "file",
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                        "fileType": ".txt, .html, .aspx, .asp, .cpp, .c, .cs, .css, .go, .h, .java, .js, .less, .ts, .php, .proto, .python, .py, .rst, .ruby, .rb, .rs, .scala, .sc, .scss, .sol, .sql, .swift, .markdown, .md, .tex, .ltx, .vb, .xml",
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                        "id": "textFile_0-input-txtFile-file"
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                    },
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                    {
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                        "label": "Metadata",
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                        "name": "metadata",
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                        "type": "json",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "textFile_0-input-metadata-json"
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                    }
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                ],
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                "inputAnchors": [
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                    {
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                        "label": "Text Splitter",
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                        "name": "textSplitter",
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                        "type": "TextSplitter",
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                        "optional": true,
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                        "id": "textFile_0-input-textSplitter-TextSplitter"
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                    }
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                ],
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                "inputs": {
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                    "textSplitter": "{{recursiveCharacterTextSplitter_0.data.instance}}",
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                    "metadata": ""
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                },
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                "outputAnchors": [
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                    {
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                        "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": "textFile_0-output-document-Document|json",
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                                "name": "document",
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                                "label": "Document",
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                                "type": "Document | json"
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                            },
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                            {
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                                "id": "textFile_0-output-text-string|json",
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                                "name": "text",
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                                "label": "Text",
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                                "type": "string | json"
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                            }
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                        ],
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                        "default": "document"
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                    }
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                ],
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                "outputs": {
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                    "output": "document"
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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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            },
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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": 480,
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            "id": "conversationalRetrievalQAChain_0",
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            "position": {
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                "y": 386.60217819991124
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            },
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            "type": "customNode",
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            "data": {
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                "id": "conversationalRetrievalQAChain_0",
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                "label": "Conversational Retrieval QA Chain",
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                "version": 3,
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                "name": "conversationalRetrievalQAChain",
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                "type": "ConversationalRetrievalQAChain",
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                "baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
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                "category": "Chains",
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                "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
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                "inputParams": [
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                    {
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                        "label": "Return Source Documents",
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                        "name": "returnSourceDocuments",
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                        "type": "boolean",
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                        "optional": true,
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                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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                    },
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                    {
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                        "label": "Rephrase Prompt",
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                        "name": "rephrasePrompt",
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                        "type": "string",
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                        "description": "Using previous chat history, rephrase question into a standalone question",
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                        "warning": "Prompt must include input variables: {chat_history} and {question}",
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                        "rows": 4,
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                        "additionalParams": true,
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                        "optional": true,
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                        "default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
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                        "id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
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                    },
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                    {
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                        "label": "Response Prompt",
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                        "name": "responsePrompt",
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                        "type": "string",
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                        "description": "Taking the rephrased question, search for answer from the provided context",
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                        "warning": "Prompt must include input variable: {context}",
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                        "rows": 4,
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                        "additionalParams": true,
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                        "optional": true,
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                        "default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
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                        "id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
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                    }
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                ],
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                "inputAnchors": [
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                    {
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                        "label": "Chat Model",
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                        "name": "model",
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                        "type": "BaseChatModel",
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                        "id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
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                    },
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                    {
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                        "label": "Vector Store Retriever",
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                        "name": "vectorStoreRetriever",
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                        "type": "BaseRetriever",
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                        "id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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                    },
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                    {
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                        "label": "Memory",
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                        "name": "memory",
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                        "type": "BaseMemory",
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                        "optional": true,
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                        "description": "If left empty, a default BufferMemory will be used",
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                        "id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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                    },
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                    {
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                        "label": "Input Moderation",
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                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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                        "name": "inputModeration",
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                        "type": "Moderation",
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                        "optional": true,
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                        "list": true,
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                        "id": "conversationalRetrievalQAChain_0-input-inputModeration-Moderation"
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                    }
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                ],
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                "inputs": {
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                    "inputModeration": "",
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                    "model": "{{chatOpenAI_0.data.instance}}",
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                    "vectorStoreRetriever": "{{pinecone_0.data.instance}}",
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                    "memory": "",
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                    "rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
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                    "responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
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                },
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                "outputAnchors": [
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                    {
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                        "id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
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                        "name": "conversationalRetrievalQAChain",
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                        "label": "ConversationalRetrievalQAChain",
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                        "type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
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                    }
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                ],
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                "outputs": {},
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                "selected": false
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            },
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                "x": 1558.6564094656787,
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                "y": 386.60217819991124
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            },
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            "selected": false
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        },
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        {
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            "width": 300,
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            "height": 574,
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            "id": "chatOpenAI_0",
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            },
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            "type": "customNode",
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            "data": {
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                "id": "chatOpenAI_0",
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                "label": "ChatOpenAI",
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                "version": 6.0,
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                "name": "chatOpenAI",
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                "type": "ChatOpenAI",
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                "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
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                "category": "Chat Models",
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                "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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                "inputParams": [
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                    {
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                        "label": "Connect Credential",
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                        "name": "credential",
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                        "type": "credential",
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                        "credentialNames": ["openAIApi"],
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                        "id": "chatOpenAI_0-input-credential-credential"
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                    },
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                    {
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                        "label": "Model Name",
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                        "name": "modelName",
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                        "type": "asyncOptions",
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                        "loadMethod": "listModels",
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                        "default": "gpt-3.5-turbo",
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                        "id": "chatOpenAI_0-input-modelName-options"
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                    },
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                    {
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                        "label": "Temperature",
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                        "name": "temperature",
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                        "type": "number",
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                        "step": 0.1,
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                        "default": 0.9,
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                        "optional": true,
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                        "id": "chatOpenAI_0-input-temperature-number"
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                    },
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                    {
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                        "label": "Max Tokens",
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                        "name": "maxTokens",
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                        "type": "number",
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                        "step": 1,
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-maxTokens-number"
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                    },
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                    {
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                        "label": "Top Probability",
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                        "name": "topP",
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                        "type": "number",
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                        "step": 0.1,
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-topP-number"
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                    },
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                    {
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                        "label": "Frequency Penalty",
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                        "name": "frequencyPenalty",
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                        "type": "number",
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                        "step": 0.1,
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-frequencyPenalty-number"
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                    },
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                    {
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                        "label": "Presence Penalty",
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                        "name": "presencePenalty",
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                        "type": "number",
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                        "step": 0.1,
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-presencePenalty-number"
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                    },
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                    {
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                        "label": "Timeout",
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                        "name": "timeout",
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                        "type": "number",
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                        "step": 1,
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-timeout-number"
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                    },
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                    {
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                        "label": "BasePath",
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                        "name": "basepath",
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                        "type": "string",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-basepath-string"
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                    },
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                    {
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                        "label": "BaseOptions",
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                        "name": "baseOptions",
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                        "type": "json",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-baseOptions-json"
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                    },
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                    {
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                        "label": "Allow Image Uploads",
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                        "name": "allowImageUploads",
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                        "type": "boolean",
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                        "description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
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                        "default": false,
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                        "optional": true,
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                        "id": "chatOpenAI_0-input-allowImageUploads-boolean"
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                    },
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                    {
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                        "label": "Image Resolution",
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                        "description": "This parameter controls the resolution in which the model views the image.",
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                        "name": "imageResolution",
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                        "type": "options",
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                        "options": [
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                            {
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                                "label": "Low",
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                                "name": "low"
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                            },
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                            {
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                                "label": "High",
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                                "name": "high"
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                            },
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                            {
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                                "label": "Auto",
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                                "name": "auto"
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                            }
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                        ],
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                        "default": "low",
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                        "optional": false,
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                        "additionalParams": true,
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                        "id": "chatOpenAI_0-input-imageResolution-options"
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                    }
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                ],
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                "inputAnchors": [
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                    {
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                        "label": "Cache",
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                        "name": "cache",
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                        "type": "BaseCache",
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                        "optional": true,
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                        "id": "chatOpenAI_0-input-cache-BaseCache"
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                    }
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                ],
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                "inputs": {
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                    "cache": "",
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                    "modelName": "gpt-3.5-turbo-16k",
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                    "temperature": 0.9,
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                    "maxTokens": "",
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                    "topP": "",
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                    "frequencyPenalty": "",
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                    "presencePenalty": "",
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                    "timeout": "",
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                    "basepath": "",
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                    "baseOptions": "",
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                    "allowImageUploads": true,
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                    "imageResolution": "low"
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                },
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                "outputAnchors": [
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                    {
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                        "id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
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                        "name": "chatOpenAI",
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                        "label": "ChatOpenAI",
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                        "type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
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                    }
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                ],
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                "outputs": {},
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                "selected": false
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            },
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            "selected": false,
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            "positionAbsolute": {
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                "x": 1194.3554779412727,
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                "y": -46.74877201166788
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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": 555,
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            "id": "pinecone_0",
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            "position": {
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                "x": 1192.4771449209463,
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                "y": 552.43946147251
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            },
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            "type": "customNode",
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            "data": {
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                "id": "pinecone_0",
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                "label": "Pinecone",
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                "version": 2,
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                "name": "pinecone",
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                "type": "Pinecone",
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                "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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                "category": "Vector Stores",
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                "description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
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                "inputParams": [
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                    {
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                        "label": "Connect Credential",
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                        "name": "credential",
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                        "type": "credential",
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                        "credentialNames": ["pineconeApi"],
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                        "id": "pinecone_0-input-credential-credential"
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                    },
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                    {
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                        "label": "Pinecone Index",
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                        "name": "pineconeIndex",
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                        "type": "string",
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                        "id": "pinecone_0-input-pineconeIndex-string"
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                    },
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                    {
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                        "label": "Pinecone Namespace",
571
                        "name": "pineconeNamespace",
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                        "type": "string",
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                        "placeholder": "my-first-namespace",
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                        "additionalParams": true,
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                        "optional": true,
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                        "id": "pinecone_0-input-pineconeNamespace-string"
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                    },
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                    {
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                        "label": "Pinecone Metadata Filter",
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                        "name": "pineconeMetadataFilter",
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                        "type": "json",
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                        "optional": true,
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                        "additionalParams": true,
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                        "id": "pinecone_0-input-pineconeMetadataFilter-json"
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                    },
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                    {
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                        "label": "Top K",
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                        "name": "topK",
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                        "description": "Number of top results to fetch. Default to 4",
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                        "placeholder": "4",
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                        "type": "number",
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                        "additionalParams": true,
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                        "optional": true,
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                        "id": "pinecone_0-input-topK-number"
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                        "label": "Search Type",
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                        "name": "searchType",
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                        "type": "options",
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                        "default": "similarity",
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                        "options": [
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                            {
603
                                "label": "Similarity",
604
                                "name": "similarity"
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                            },
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                            {
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                                "label": "Max Marginal Relevance",
608
                                "name": "mmr"
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                        "additionalParams": true,
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                        "optional": true,
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                        "id": "pinecone_0-input-searchType-options"
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                    {
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                        "label": "Fetch K (for MMR Search)",
617
                        "name": "fetchK",
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                        "description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
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                        "placeholder": "20",
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                        "type": "number",
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                        "additionalParams": true,
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                        "optional": true,
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                        "id": "pinecone_0-input-fetchK-number"
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                    {
626
                        "label": "Lambda (for MMR Search)",
627
                        "name": "lambda",
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                        "description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
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                        "placeholder": "0.5",
630
                        "type": "number",
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                        "optional": true,
633
                        "id": "pinecone_0-input-lambda-number"
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                        "label": "Document",
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                        "name": "document",
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                        "type": "Document",
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                        "list": true,
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                        "id": "pinecone_0-input-document-Document"
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                        "label": "Embeddings",
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                        "name": "embeddings",
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                        "type": "Embeddings",
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                        "id": "pinecone_0-input-embeddings-Embeddings"
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                    "document": ["{{textFile_0.data.instance}}"],
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                    "embeddings": "{{openAIEmbeddings_0.data.instance}}",
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                    "pineconeIndex": "",
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                    "pineconeNamespace": "",
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                    "pineconeMetadataFilter": "",
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                    "topK": "",
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                    "searchType": "similarity",
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                    "fetchK": "",
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                    "lambda": ""
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                        "name": "output",
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                        "label": "Output",
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                                "id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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                                "name": "retriever",
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                                "label": "Pinecone Retriever",
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                                "type": "Pinecone | VectorStoreRetriever | BaseRetriever"
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                            },
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                            {
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                                "id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
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                                "name": "vectorStore",
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                                "label": "Pinecone Vector Store",
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                                "type": "Pinecone | VectorStore"
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                            }
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                        ],
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                        "default": "retriever"
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                    }
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                ],
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                "outputs": {
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                    "output": "retriever"
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                },
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                "selected": false
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            },
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            "selected": false,
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            "positionAbsolute": {
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                "y": 552.43946147251
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            "dragging": false
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        }
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    ],
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    "edges": [
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        {
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            "source": "recursiveCharacterTextSplitter_0",
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            "sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
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            "target": "textFile_0",
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            "targetHandle": "textFile_0-input-textSplitter-TextSplitter",
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            "type": "buttonedge",
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            "id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_0-textFile_0-input-textSplitter-TextSplitter",
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            "data": {
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                "label": ""
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            "source": "textFile_0",
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            "sourceHandle": "textFile_0-output-document-Document|json",
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            "id": "textFile_0-textFile_0-output-document-Document|json-pinecone_0-pinecone_0-input-document-Document",
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            "data": {
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                "label": ""
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        },
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        {
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            "source": "openAIEmbeddings_0",
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            "target": "pinecone_0",
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            "targetHandle": "pinecone_0-input-embeddings-Embeddings",
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            "id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pinecone_0-pinecone_0-input-embeddings-Embeddings",
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            "data": {
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            "source": "pinecone_0",
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            "sourceHandle": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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            "target": "conversationalRetrievalQAChain_0",
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            "type": "buttonedge",
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            "id": "pinecone_0-pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
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            "data": {
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                "label": ""
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        {
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            "source": "chatOpenAI_0",
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            "sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
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            "target": "conversationalRetrievalQAChain_0",
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            "id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
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            "data": {
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