mirror of
https://github.com/farcasclaudiu/Flowise.git
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vinodkiran
737 lines
31 KiB
JSON
737 lines
31 KiB
JSON
{
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"description": "Agent optimized for vector retrieval during conversation and answering questions based on previous dialogue.",
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"categories": "Retriever Tool,Buffer Memory,ChatOpenAI,Conversational Retrieval Agent, 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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"position": {
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"id": "openAIEmbeddings_0",
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"label": "OpenAI Embeddings",
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"version": 2,
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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": "options",
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"options": [
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{
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"label": "text-embedding-3-large",
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"name": "text-embedding-3-large"
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},
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{
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"label": "text-embedding-3-small",
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"name": "text-embedding-3-small"
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},
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{
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"label": "text-embedding-ada-002",
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"name": "text-embedding-ada-002"
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}
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],
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"default": "text-embedding-ada-002",
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"optional": true,
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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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"dragging": false
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},
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{
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"width": 300,
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"height": 383,
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"id": "conversationalRetrievalAgent_0",
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"position": {
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"y": 357.97363342258217
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},
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"type": "customNode",
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"data": {
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"id": "conversationalRetrievalAgent_0",
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"label": "Conversational Retrieval Agent",
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"version": 3,
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"name": "conversationalRetrievalAgent",
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"type": "AgentExecutor",
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"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
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"category": "Agents",
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"description": "An agent optimized for retrieval during conversation, answering questions based on past dialogue, all using OpenAI's Function Calling",
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"inputParams": [
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{
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"label": "System Message",
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"name": "systemMessage",
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"type": "string",
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"rows": 4,
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"optional": true,
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"additionalParams": true,
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"id": "conversationalRetrievalAgent_0-input-systemMessage-string"
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}
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],
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"inputAnchors": [
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{
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"label": "Allowed Tools",
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"name": "tools",
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"type": "Tool",
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"list": true,
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"id": "conversationalRetrievalAgent_0-input-tools-Tool"
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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": "BaseChatMemory",
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"id": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory"
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},
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{
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"label": "OpenAI/Azure Chat Model",
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"name": "model",
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"type": "BaseChatModel",
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"id": "conversationalRetrievalAgent_0-input-model-BaseChatModel"
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}
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],
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"inputs": {
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"tools": ["{{retrieverTool_0.data.instance}}"],
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"memory": "{{bufferMemory_0.data.instance}}",
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"model": "{{chatOpenAI_0.data.instance}}",
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"systemMessage": ""
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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalAgent_0-output-conversationalRetrievalAgent-AgentExecutor|BaseChain|Runnable",
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"name": "conversationalRetrievalAgent",
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"label": "AgentExecutor",
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"type": "AgentExecutor | 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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"dragging": false
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},
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{
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"width": 300,
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"height": 505,
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"id": "retrieverTool_0",
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"position": {
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"y": -321.14473253480946
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},
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"type": "customNode",
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"data": {
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"id": "retrieverTool_0",
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"label": "Retriever Tool",
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"version": 1,
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"name": "retrieverTool",
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"type": "RetrieverTool",
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"baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
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"category": "Tools",
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"description": "Use a retriever as allowed tool for agent",
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"inputParams": [
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{
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"label": "Retriever Name",
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"name": "name",
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"type": "string",
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"placeholder": "search_state_of_union",
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"id": "retrieverTool_0-input-name-string"
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},
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{
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"label": "Retriever Description",
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"name": "description",
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"type": "string",
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"description": "When should agent uses to retrieve documents",
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"rows": 3,
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"placeholder": "Searches and returns documents regarding the state-of-the-union.",
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"id": "retrieverTool_0-input-description-string"
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},
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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": "retrieverTool_0-input-returnSourceDocuments-boolean"
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}
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],
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"inputAnchors": [
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{
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"label": "Retriever",
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"name": "retriever",
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"type": "BaseRetriever",
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"id": "retrieverTool_0-input-retriever-BaseRetriever"
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}
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],
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"inputs": {
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"name": "search_website",
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"description": "Searches and return documents regarding Jane - a culinary institution that offers top quality coffee, pastries, breakfast, lunch, and a variety of baked goods. They have multiple locations, including Jane on Fillmore, Jane on Larkin, Jane the Bakery, Toy Boat By Jane, and Little Jane on Grant. They emphasize healthy eating with a focus on flavor and quality ingredients. They bake everything in-house and work with local suppliers to source ingredients directly from farmers. They also offer catering services and delivery options.",
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"retriever": "{{pinecone_0.data.instance}}",
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"returnSourceDocuments": true
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},
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"outputAnchors": [
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{
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"id": "retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
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"name": "retrieverTool",
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"label": "RetrieverTool",
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"type": "RetrieverTool | DynamicTool | Tool | StructuredTool | 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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},
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{
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"width": 300,
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"height": 376,
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"id": "bufferMemory_0",
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"position": {
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},
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"type": "customNode",
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"data": {
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"id": "bufferMemory_0",
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"label": "Buffer Memory",
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"version": 1,
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"name": "bufferMemory",
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"type": "BufferMemory",
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"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
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"category": "Memory",
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"description": "Remembers previous conversational back and forths directly",
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"inputParams": [
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{
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"label": "Memory Key",
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"name": "memoryKey",
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"type": "string",
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"default": "chat_history",
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"id": "bufferMemory_0-input-memoryKey-string"
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},
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{
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"label": "Input Key",
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"name": "inputKey",
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"type": "string",
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"default": "input",
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"id": "bufferMemory_0-input-inputKey-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"memoryKey": "chat_history",
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"inputKey": "input"
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},
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"outputAnchors": [
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{
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"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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"name": "bufferMemory",
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"label": "BufferMemory",
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"type": "BufferMemory | BaseChatMemory | BaseMemory"
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}
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],
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"outputs": {},
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"dragging": false
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},
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{
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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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},
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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",
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"name": "pineconeNamespace",
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"type": "string",
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"placeholder": "my-first-namespace",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-pineconeNamespace-string"
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},
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{
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"label": "Pinecone Metadata Filter",
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"name": "pineconeMetadataFilter",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "pinecone_0-input-pineconeMetadataFilter-json"
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},
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{
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"label": "Top K",
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"name": "topK",
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"description": "Number of top results to fetch. Default to 4",
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"placeholder": "4",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-topK-number"
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},
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{
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"label": "Search Type",
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"name": "searchType",
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"type": "options",
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"default": "similarity",
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"options": [
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{
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"label": "Similarity",
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"name": "similarity"
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},
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{
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"label": "Max Marginal Relevance",
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"name": "mmr"
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}
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],
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-searchType-options"
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},
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{
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"label": "Fetch K (for MMR Search)",
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"name": "fetchK",
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"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
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"placeholder": "20",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-fetchK-number"
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},
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{
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"label": "Lambda (for MMR Search)",
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"name": "lambda",
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"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
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"placeholder": "0.5",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "pinecone_0-input-lambda-number"
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}
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],
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"inputAnchors": [
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{
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"label": "Document",
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"name": "document",
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"type": "Document",
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"list": true,
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"optional": true,
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"id": "pinecone_0-input-document-Document"
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},
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{
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"label": "Embeddings",
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"name": "embeddings",
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"type": "Embeddings",
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"id": "pinecone_0-input-embeddings-Embeddings"
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}
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],
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"inputs": {
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"document": "",
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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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},
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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": "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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"id": "chatOpenAI_0",
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 3,
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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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"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": "options",
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"options": [
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{
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|
"label": "gpt-4",
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"name": "gpt-4"
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},
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{
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"label": "gpt-4-turbo-preview",
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"name": "gpt-4-turbo-preview"
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},
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{
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"label": "gpt-4-0125-preview",
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"name": "gpt-4-0125-preview"
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},
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{
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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