mirror of https://github.com/FlowiseAI/Flowise.git
737 lines
32 KiB
JSON
737 lines
32 KiB
JSON
{
|
|
"description": "Use long term memory like Zep to differentiate conversations between users with sessionId",
|
|
"nodes": [
|
|
{
|
|
"width": 300,
|
|
"height": 480,
|
|
"id": "conversationalRetrievalQAChain_0",
|
|
"position": {
|
|
"x": 2001.2622706097407,
|
|
"y": 360.7347224947406
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "conversationalRetrievalQAChain_0",
|
|
"label": "Conversational Retrieval QA Chain",
|
|
"version": 1,
|
|
"name": "conversationalRetrievalQAChain",
|
|
"type": "ConversationalRetrievalQAChain",
|
|
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
|
|
"category": "Chains",
|
|
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
|
"inputParams": [
|
|
{
|
|
"label": "Return Source Documents",
|
|
"name": "returnSourceDocuments",
|
|
"type": "boolean",
|
|
"optional": true,
|
|
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
|
|
},
|
|
{
|
|
"label": "System Message",
|
|
"name": "systemMessagePrompt",
|
|
"type": "string",
|
|
"rows": 4,
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
|
|
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
|
|
},
|
|
{
|
|
"label": "Chain Option",
|
|
"name": "chainOption",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "MapReduceDocumentsChain",
|
|
"name": "map_reduce",
|
|
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
|
|
},
|
|
{
|
|
"label": "RefineDocumentsChain",
|
|
"name": "refine",
|
|
"description": "Suitable for QA tasks over a large number of documents."
|
|
},
|
|
{
|
|
"label": "StuffDocumentsChain",
|
|
"name": "stuff",
|
|
"description": "Suitable for QA tasks over a small number of documents."
|
|
}
|
|
],
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Language Model",
|
|
"name": "model",
|
|
"type": "BaseLanguageModel",
|
|
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
|
|
},
|
|
{
|
|
"label": "Vector Store Retriever",
|
|
"name": "vectorStoreRetriever",
|
|
"type": "BaseRetriever",
|
|
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
|
},
|
|
{
|
|
"label": "Memory",
|
|
"name": "memory",
|
|
"type": "BaseMemory",
|
|
"optional": true,
|
|
"description": "If left empty, a default BufferMemory will be used",
|
|
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"model": "{{chatOpenAI_0.data.instance}}",
|
|
"vectorStoreRetriever": "{{qdrant_0.data.instance}}",
|
|
"memory": "{{ZepMemory_0.data.instance}}",
|
|
"returnSourceDocuments": true
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
|
|
"name": "conversationalRetrievalQAChain",
|
|
"label": "ConversationalRetrievalQAChain",
|
|
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 2001.2622706097407,
|
|
"y": 360.7347224947406
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 329,
|
|
"id": "openAIEmbeddings_0",
|
|
"position": {
|
|
"x": 789.6839176356616,
|
|
"y": 167.70165941305987
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "openAIEmbeddings_0",
|
|
"label": "OpenAI Embeddings",
|
|
"version": 1,
|
|
"name": "openAIEmbeddings",
|
|
"type": "OpenAIEmbeddings",
|
|
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
|
|
"category": "Embeddings",
|
|
"description": "OpenAI API to generate embeddings for a given text",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["openAIApi"],
|
|
"id": "openAIEmbeddings_0-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Strip New Lines",
|
|
"name": "stripNewLines",
|
|
"type": "boolean",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
|
|
},
|
|
{
|
|
"label": "Batch Size",
|
|
"name": "batchSize",
|
|
"type": "number",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbeddings_0-input-batchSize-number"
|
|
},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbeddings_0-input-timeout-number"
|
|
},
|
|
{
|
|
"label": "BasePath",
|
|
"name": "basepath",
|
|
"type": "string",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "openAIEmbeddings_0-input-basepath-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"stripNewLines": "",
|
|
"batchSize": "",
|
|
"timeout": "",
|
|
"basepath": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
|
"name": "openAIEmbeddings",
|
|
"label": "OpenAIEmbeddings",
|
|
"type": "OpenAIEmbeddings | Embeddings"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 789.6839176356616,
|
|
"y": 167.70165941305987
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 623,
|
|
"id": "ZepMemory_0",
|
|
"position": {
|
|
"x": 420.8032935700942,
|
|
"y": 92.41976641951993
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "ZepMemory_0",
|
|
"label": "Zep Memory",
|
|
"version": 1,
|
|
"name": "ZepMemory",
|
|
"type": "ZepMemory",
|
|
"baseClasses": ["ZepMemory", "BaseChatMemory", "BaseMemory"],
|
|
"category": "Memory",
|
|
"description": "Summarizes the conversation and stores the memory in zep server",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"optional": true,
|
|
"description": "Configure JWT authentication on your Zep instance (Optional)",
|
|
"credentialNames": ["zepMemoryApi"],
|
|
"id": "ZepMemory_0-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Base URL",
|
|
"name": "baseURL",
|
|
"type": "string",
|
|
"default": "http://127.0.0.1:8000",
|
|
"id": "ZepMemory_0-input-baseURL-string"
|
|
},
|
|
{
|
|
"label": "Auto Summary",
|
|
"name": "autoSummary",
|
|
"type": "boolean",
|
|
"default": true,
|
|
"id": "ZepMemory_0-input-autoSummary-boolean"
|
|
},
|
|
{
|
|
"label": "Session Id",
|
|
"name": "sessionId",
|
|
"type": "string",
|
|
"description": "if empty, chatId will be used automatically",
|
|
"default": "",
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "ZepMemory_0-input-sessionId-string"
|
|
},
|
|
{
|
|
"label": "Size",
|
|
"name": "k",
|
|
"type": "number",
|
|
"default": "10",
|
|
"step": 1,
|
|
"description": "Window of size k to surface the last k back-and-forths to use as memory.",
|
|
"id": "ZepMemory_0-input-k-number"
|
|
},
|
|
{
|
|
"label": "Auto Summary Template",
|
|
"name": "autoSummaryTemplate",
|
|
"type": "string",
|
|
"default": "This is the summary of the following conversation:\n{summary}",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-autoSummaryTemplate-string"
|
|
},
|
|
{
|
|
"label": "AI Prefix",
|
|
"name": "aiPrefix",
|
|
"type": "string",
|
|
"default": "ai",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-aiPrefix-string"
|
|
},
|
|
{
|
|
"label": "Human Prefix",
|
|
"name": "humanPrefix",
|
|
"type": "string",
|
|
"default": "human",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-humanPrefix-string"
|
|
},
|
|
{
|
|
"label": "Memory Key",
|
|
"name": "memoryKey",
|
|
"type": "string",
|
|
"default": "chat_history",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-memoryKey-string"
|
|
},
|
|
{
|
|
"label": "Input Key",
|
|
"name": "inputKey",
|
|
"type": "string",
|
|
"default": "input",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-inputKey-string"
|
|
},
|
|
{
|
|
"label": "Output Key",
|
|
"name": "outputKey",
|
|
"type": "string",
|
|
"default": "text",
|
|
"additionalParams": true,
|
|
"id": "ZepMemory_0-input-outputKey-string"
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"baseURL": "http://127.0.0.1:8000",
|
|
"autoSummary": true,
|
|
"sessionId": "",
|
|
"k": "10",
|
|
"autoSummaryTemplate": "This is the summary of the following conversation:\n{summary}",
|
|
"aiPrefix": "ai",
|
|
"humanPrefix": "human",
|
|
"memoryKey": "chat_history",
|
|
"inputKey": "input",
|
|
"outputKey": "text"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory",
|
|
"name": "ZepMemory",
|
|
"label": "ZepMemory",
|
|
"type": "ZepMemory | BaseChatMemory | BaseMemory"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 420.8032935700942,
|
|
"y": 92.41976641951993
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 654,
|
|
"id": "qdrant_0",
|
|
"position": {
|
|
"x": 1186.2560075381377,
|
|
"y": -86.38901299105441
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "qdrant_0",
|
|
"label": "Qdrant",
|
|
"version": 1,
|
|
"name": "qdrant",
|
|
"type": "Qdrant",
|
|
"baseClasses": ["Qdrant", "VectorStoreRetriever", "BaseRetriever"],
|
|
"category": "Vector Stores",
|
|
"description": "Upsert embedded data and perform similarity search upon query using Qdrant, a scalable open source vector database written in Rust",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"description": "Only needed when using Qdrant cloud hosted",
|
|
"optional": true,
|
|
"credentialNames": ["qdrantApi"],
|
|
"id": "qdrant_0-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Qdrant Server URL",
|
|
"name": "qdrantServerUrl",
|
|
"type": "string",
|
|
"placeholder": "http://localhost:6333",
|
|
"id": "qdrant_0-input-qdrantServerUrl-string"
|
|
},
|
|
{
|
|
"label": "Qdrant Collection Name",
|
|
"name": "qdrantCollection",
|
|
"type": "string",
|
|
"id": "qdrant_0-input-qdrantCollection-string"
|
|
},
|
|
{
|
|
"label": "Vector Dimension",
|
|
"name": "qdrantVectorDimension",
|
|
"type": "number",
|
|
"default": 1536,
|
|
"additionalParams": true,
|
|
"id": "qdrant_0-input-qdrantVectorDimension-number"
|
|
},
|
|
{
|
|
"label": "Similarity",
|
|
"name": "qdrantSimilarity",
|
|
"description": "Similarity measure used in Qdrant.",
|
|
"type": "options",
|
|
"default": "Cosine",
|
|
"options": [
|
|
{
|
|
"label": "Cosine",
|
|
"name": "Cosine"
|
|
},
|
|
{
|
|
"label": "Euclid",
|
|
"name": "Euclid"
|
|
},
|
|
{
|
|
"label": "Dot",
|
|
"name": "Dot"
|
|
}
|
|
],
|
|
"additionalParams": true,
|
|
"id": "qdrant_0-input-qdrantSimilarity-options"
|
|
},
|
|
{
|
|
"label": "Additional Collection Cofiguration",
|
|
"name": "qdrantCollectionConfiguration",
|
|
"description": "Refer to <a target=\"_blank\" href=\"https://qdrant.tech/documentation/concepts/collections\">collection docs</a> for more reference",
|
|
"type": "json",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "qdrant_0-input-qdrantCollectionConfiguration-json"
|
|
},
|
|
{
|
|
"label": "Top K",
|
|
"name": "topK",
|
|
"description": "Number of top results to fetch. Default to 4",
|
|
"placeholder": "4",
|
|
"type": "number",
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "qdrant_0-input-topK-number"
|
|
},
|
|
{
|
|
"label": "Qdrant Search Filter",
|
|
"name": "qdrantFilter",
|
|
"description": "Only return points which satisfy the conditions",
|
|
"type": "json",
|
|
"additionalParams": true,
|
|
"optional": true,
|
|
"id": "qdrant_0-input-qdrantFilter-json"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Document",
|
|
"name": "document",
|
|
"type": "Document",
|
|
"list": true,
|
|
"optional": true,
|
|
"id": "qdrant_0-input-document-Document"
|
|
},
|
|
{
|
|
"label": "Embeddings",
|
|
"name": "embeddings",
|
|
"type": "Embeddings",
|
|
"id": "qdrant_0-input-embeddings-Embeddings"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"document": "",
|
|
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
|
"qdrantServerUrl": "",
|
|
"qdrantCollection": "",
|
|
"qdrantVectorDimension": 1536,
|
|
"qdrantSimilarity": "Cosine",
|
|
"qdrantCollectionConfiguration": "",
|
|
"topK": "",
|
|
"qdrantFilter": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"name": "output",
|
|
"label": "Output",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"id": "qdrant_0-output-retriever-Qdrant|VectorStoreRetriever|BaseRetriever",
|
|
"name": "retriever",
|
|
"label": "Qdrant Retriever",
|
|
"type": "Qdrant | VectorStoreRetriever | BaseRetriever"
|
|
},
|
|
{
|
|
"id": "qdrant_0-output-vectorStore-Qdrant|VectorStore",
|
|
"name": "vectorStore",
|
|
"label": "Qdrant Vector Store",
|
|
"type": "Qdrant | VectorStore"
|
|
}
|
|
],
|
|
"default": "retriever"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"output": "retriever"
|
|
},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 1186.2560075381377,
|
|
"y": -86.38901299105441
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 574,
|
|
"id": "chatOpenAI_0",
|
|
"position": {
|
|
"x": 1561.0993169664887,
|
|
"y": -75.4103386563329
|
|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "chatOpenAI_0",
|
|
"label": "ChatOpenAI",
|
|
"version": 2,
|
|
"name": "chatOpenAI",
|
|
"type": "ChatOpenAI",
|
|
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
|
"category": "Chat Models",
|
|
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
|
"inputParams": [
|
|
{
|
|
"label": "Connect Credential",
|
|
"name": "credential",
|
|
"type": "credential",
|
|
"credentialNames": ["openAIApi"],
|
|
"id": "chatOpenAI_0-input-credential-credential"
|
|
},
|
|
{
|
|
"label": "Model Name",
|
|
"name": "modelName",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "gpt-4",
|
|
"name": "gpt-4"
|
|
},
|
|
{
|
|
"label": "gpt-4-1106-preview",
|
|
"name": "gpt-4-1106-preview"
|
|
},
|
|
{
|
|
"label": "gpt-4-vision-preview",
|
|
"name": "gpt-4-vision-preview"
|
|
},
|
|
{
|
|
"label": "gpt-4-0613",
|
|
"name": "gpt-4-0613"
|
|
},
|
|
{
|
|
"label": "gpt-4-32k",
|
|
"name": "gpt-4-32k"
|
|
},
|
|
{
|
|
"label": "gpt-4-32k-0613",
|
|
"name": "gpt-4-32k-0613"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo",
|
|
"name": "gpt-3.5-turbo"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-1106",
|
|
"name": "gpt-3.5-turbo-1106"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-0613",
|
|
"name": "gpt-3.5-turbo-0613"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-16k",
|
|
"name": "gpt-3.5-turbo-16k"
|
|
},
|
|
{
|
|
"label": "gpt-3.5-turbo-16k-0613",
|
|
"name": "gpt-3.5-turbo-16k-0613"
|
|
}
|
|
],
|
|
"default": "gpt-3.5-turbo",
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-modelName-options"
|
|
},
|
|
{
|
|
"label": "Temperature",
|
|
"name": "temperature",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"default": 0.9,
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-temperature-number"
|
|
},
|
|
{
|
|
"label": "Max Tokens",
|
|
"name": "maxTokens",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-maxTokens-number"
|
|
},
|
|
{
|
|
"label": "Top Probability",
|
|
"name": "topP",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-topP-number"
|
|
},
|
|
{
|
|
"label": "Frequency Penalty",
|
|
"name": "frequencyPenalty",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
|
},
|
|
{
|
|
"label": "Presence Penalty",
|
|
"name": "presencePenalty",
|
|
"type": "number",
|
|
"step": 0.1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-presencePenalty-number"
|
|
},
|
|
{
|
|
"label": "Timeout",
|
|
"name": "timeout",
|
|
"type": "number",
|
|
"step": 1,
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-timeout-number"
|
|
},
|
|
{
|
|
"label": "BasePath",
|
|
"name": "basepath",
|
|
"type": "string",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-basepath-string"
|
|
},
|
|
{
|
|
"label": "BaseOptions",
|
|
"name": "baseOptions",
|
|
"type": "json",
|
|
"optional": true,
|
|
"additionalParams": true,
|
|
"id": "chatOpenAI_0-input-baseOptions-json"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Cache",
|
|
"name": "cache",
|
|
"type": "BaseCache",
|
|
"optional": true,
|
|
"id": "chatOpenAI_0-input-cache-BaseCache"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"cache": "",
|
|
"modelName": "gpt-3.5-turbo-16k",
|
|
"temperature": 0.9,
|
|
"maxTokens": "",
|
|
"topP": "",
|
|
"frequencyPenalty": "",
|
|
"presencePenalty": "",
|
|
"timeout": "",
|
|
"basepath": "",
|
|
"baseOptions": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"name": "chatOpenAI",
|
|
"label": "ChatOpenAI",
|
|
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 1561.0993169664887,
|
|
"y": -75.4103386563329
|
|
},
|
|
"dragging": false
|
|
}
|
|
],
|
|
"edges": [
|
|
{
|
|
"source": "ZepMemory_0",
|
|
"sourceHandle": "ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory",
|
|
"target": "conversationalRetrievalQAChain_0",
|
|
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
|
"type": "buttonedge",
|
|
"id": "ZepMemory_0-ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-BaseMemory",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "openAIEmbeddings_0",
|
|
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
|
"target": "qdrant_0",
|
|
"targetHandle": "qdrant_0-input-embeddings-Embeddings",
|
|
"type": "buttonedge",
|
|
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-qdrant_0-qdrant_0-input-embeddings-Embeddings",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "qdrant_0",
|
|
"sourceHandle": "qdrant_0-output-retriever-Qdrant|VectorStoreRetriever|BaseRetriever",
|
|
"target": "conversationalRetrievalQAChain_0",
|
|
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
|
"type": "buttonedge",
|
|
"id": "qdrant_0-qdrant_0-output-retriever-Qdrant|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "chatOpenAI_0",
|
|
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"target": "conversationalRetrievalQAChain_0",
|
|
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
}
|
|
]
|
|
}
|