mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 11:01:18 +03:00
add vector upsert ability
This commit is contained in:
Henry
@@ -1,20 +1,21 @@
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{
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"description": "QnA chain using local LLM, Embedding models, and Faiss local vector store",
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"description": "QnA chain using Ollama local LLM, LocalAI embedding model, and Faiss local vector store",
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"badge": "POPULAR",
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"nodes": [
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{
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"width": 300,
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"height": 376,
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"height": 429,
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"id": "recursiveCharacterTextSplitter_1",
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"position": {
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"x": 422.81091375202413,
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"x": 424.5721426652516,
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"y": 122.99825010325736
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},
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"type": "customNode",
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"data": {
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"id": "recursiveCharacterTextSplitter_1",
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"label": "Recursive Character Text Splitter",
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"name": "recursiveCharacterTextSplitter",
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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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@@ -65,25 +66,25 @@
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},
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"selected": false,
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"positionAbsolute": {
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"x": 422.81091375202413,
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"x": 424.5721426652516,
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"y": 122.99825010325736
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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": 428,
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"height": 480,
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"id": "conversationalRetrievalQAChain_0",
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"position": {
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"x": 1634.455879160561,
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"y": 428.77742668929807
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"x": 1604.8865818627112,
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"y": 329.6333122200366
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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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"name": "conversationalRetrievalQAChain",
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"version": 1,
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"name": "conversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain",
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"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
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"category": "Chains",
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@@ -155,8 +156,8 @@
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}
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],
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"inputs": {
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"model": "{{chatLocalAI_0.data.instance}}",
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"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}",
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"model": "{{chatOllama_0.data.instance}}",
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"vectorStoreRetriever": "{{faiss_0.data.instance}}",
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"memory": ""
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},
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"outputAnchors": [
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@@ -172,208 +173,14 @@
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},
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"selected": false,
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"positionAbsolute": {
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"x": 1634.455879160561,
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"y": 428.77742668929807
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"x": 1604.8865818627112,
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"y": 329.6333122200366
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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": 456,
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"id": "faissUpsert_0",
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"position": {
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"x": 1204.6898035516715,
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"y": 521.0933926644659
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},
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"type": "customNode",
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"data": {
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"id": "faissUpsert_0",
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"label": "Faiss Upsert Document",
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"name": "faissUpsert",
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"version": 1,
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"type": "Faiss",
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"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert documents to Faiss",
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"inputParams": [
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{
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"label": "Base Path to store",
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"name": "basePath",
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"description": "Path to store faiss.index file",
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"placeholder": "C:\\Users\\User\\Desktop",
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"type": "string",
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"id": "faissUpsert_0-input-basePath-string"
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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": "faissUpsert_0-input-topK-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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"id": "faissUpsert_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": "faissUpsert_0-input-embeddings-Embeddings"
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}
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],
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"inputs": {
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"document": ["{{textFile_0.data.instance}}"],
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"embeddings": "{{localAIEmbeddings_0.data.instance}}",
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"basePath": "C:\\Users\\your-folder",
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"topK": ""
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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": "faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Faiss Retriever",
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"type": "Faiss | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "faissUpsert_0-output-vectorStore-Faiss|SaveableVectorStore|VectorStore",
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"name": "vectorStore",
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"label": "Faiss Vector Store",
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"type": "Faiss | SaveableVectorStore | 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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"x": 1204.6898035516715,
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"y": 521.0933926644659
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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": 526,
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"id": "chatLocalAI_0",
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"position": {
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"x": 1191.9512064167336,
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"y": -94.05401001663306
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},
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"type": "customNode",
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"data": {
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"id": "chatLocalAI_0",
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"label": "ChatLocalAI",
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"name": "chatLocalAI",
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"version": 2,
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"type": "ChatLocalAI",
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"baseClasses": ["ChatLocalAI", "BaseChatModel", "LLM", "BaseLLM", "BaseLanguageModel", "BaseLangChain"],
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"category": "Chat Models",
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"description": "Use local LLMs like llama.cpp, gpt4all using LocalAI",
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"inputParams": [
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{
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"label": "Base Path",
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"name": "basePath",
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"type": "string",
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"placeholder": "http://localhost:8080/v1",
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"id": "chatLocalAI_0-input-basePath-string"
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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": "string",
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"placeholder": "gpt4all-lora-quantized.bin",
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"id": "chatLocalAI_0-input-modelName-string"
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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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"default": 0.9,
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"optional": true,
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"id": "chatLocalAI_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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"optional": true,
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"additionalParams": true,
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"id": "chatLocalAI_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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"optional": true,
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"additionalParams": true,
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"id": "chatLocalAI_0-input-topP-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": "chatLocalAI_0-input-timeout-number"
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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": "chatLocalAI_0-input-cache-BaseCache"
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}
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],
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"inputs": {
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"basePath": "http://localhost:8080/v1",
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"modelName": "ggml-gpt4all-j.bin",
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"temperature": 0.9,
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"maxTokens": "",
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"topP": "",
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"timeout": ""
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},
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"outputAnchors": [
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{
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"id": "chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
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"name": "chatLocalAI",
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"label": "ChatLocalAI",
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"type": "ChatLocalAI | BaseChatModel | LLM | BaseLLM | BaseLanguageModel | BaseLangChain"
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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": 1191.9512064167336,
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"y": -94.05401001663306
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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": 410,
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"height": 419,
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"id": "textFile_0",
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"position": {
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"x": 809.5432731751458,
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@@ -383,8 +190,8 @@
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"data": {
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"id": "textFile_0",
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"label": "Text File",
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"name": "textFile",
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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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@@ -465,8 +272,8 @@
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"data": {
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"id": "localAIEmbeddings_0",
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"label": "LocalAI Embeddings",
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"name": "localAIEmbeddings",
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"version": 1,
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"name": "localAIEmbeddings",
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"type": "LocalAI Embeddings",
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"baseClasses": ["LocalAI Embeddings", "Embeddings"],
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"category": "Embeddings",
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@@ -509,31 +316,324 @@
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"y": 507.4586304746849
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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": 578,
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"id": "chatOllama_0",
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"position": {
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"x": 1198.006914501795,
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"y": -78.92345253481488
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},
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"type": "customNode",
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"data": {
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"id": "chatOllama_0",
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"label": "ChatOllama",
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"version": 2,
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"name": "chatOllama",
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"type": "ChatOllama",
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"baseClasses": ["ChatOllama", "SimpleChatModel", "BaseChatModel", "BaseLanguageModel", "Runnable"],
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"category": "Chat Models",
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"description": "Chat completion using open-source LLM on Ollama",
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"inputParams": [
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{
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"label": "Base URL",
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"name": "baseUrl",
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"type": "string",
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"default": "http://localhost:11434",
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"id": "chatOllama_0-input-baseUrl-string"
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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": "string",
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"placeholder": "llama2",
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"id": "chatOllama_0-input-modelName-string"
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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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"description": "The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
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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": "chatOllama_0-input-temperature-number"
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},
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{
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"label": "Top P",
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"name": "topP",
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"type": "number",
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"description": "Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOllama_0-input-topP-number"
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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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"type": "number",
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"description": "Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOllama_0-input-topK-number"
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},
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{
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"label": "Mirostat",
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"name": "mirostat",
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"type": "number",
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"description": "Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
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"step": 1,
|
||||
"optional": true,
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"additionalParams": true,
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"id": "chatOllama_0-input-mirostat-number"
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},
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{
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"label": "Mirostat ETA",
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"name": "mirostatEta",
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"type": "number",
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"description": "Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1) Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-mirostatEta-number"
|
||||
},
|
||||
{
|
||||
"label": "Mirostat TAU",
|
||||
"name": "mirostatTau",
|
||||
"type": "number",
|
||||
"description": "Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. (Default: 5.0) Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-mirostatTau-number"
|
||||
},
|
||||
{
|
||||
"label": "Context Window Size",
|
||||
"name": "numCtx",
|
||||
"type": "number",
|
||||
"description": "Sets the size of the context window used to generate the next token. (Default: 2048) Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-numCtx-number"
|
||||
},
|
||||
{
|
||||
"label": "Number of GQA groups",
|
||||
"name": "numGqa",
|
||||
"type": "number",
|
||||
"description": "The number of GQA groups in the transformer layer. Required for some models, for example it is 8 for llama2:70b. Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-numGqa-number"
|
||||
},
|
||||
{
|
||||
"label": "Number of GPU",
|
||||
"name": "numGpu",
|
||||
"type": "number",
|
||||
"description": "The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable. Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-numGpu-number"
|
||||
},
|
||||
{
|
||||
"label": "Number of Thread",
|
||||
"name": "numThread",
|
||||
"type": "number",
|
||||
"description": "Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-numThread-number"
|
||||
},
|
||||
{
|
||||
"label": "Repeat Last N",
|
||||
"name": "repeatLastN",
|
||||
"type": "number",
|
||||
"description": "Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-repeatLastN-number"
|
||||
},
|
||||
{
|
||||
"label": "Repeat Penalty",
|
||||
"name": "repeatPenalty",
|
||||
"type": "number",
|
||||
"description": "Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-repeatPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Stop Sequence",
|
||||
"name": "stop",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "AI assistant:",
|
||||
"description": "Sets the stop sequences to use. Use comma to seperate different sequences. Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-stop-string"
|
||||
},
|
||||
{
|
||||
"label": "Tail Free Sampling",
|
||||
"name": "tfsZ",
|
||||
"type": "number",
|
||||
"description": "Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (Default: 1). Refer to <a target=\"_blank\" href=\"https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values\">docs</a> for more details",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOllama_0-input-tfsZ-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOllama_0-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"cache": "",
|
||||
"baseUrl": "http://localhost:11434",
|
||||
"modelName": "llama2",
|
||||
"temperature": 0.9,
|
||||
"topP": "",
|
||||
"topK": "",
|
||||
"mirostat": "",
|
||||
"mirostatEta": "",
|
||||
"mirostatTau": "",
|
||||
"numCtx": "",
|
||||
"numGqa": "",
|
||||
"numGpu": "",
|
||||
"numThread": "",
|
||||
"repeatLastN": "",
|
||||
"repeatPenalty": "",
|
||||
"stop": "",
|
||||
"tfsZ": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOllama",
|
||||
"label": "ChatOllama",
|
||||
"type": "ChatOllama | SimpleChatModel | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1198.006914501795,
|
||||
"y": -78.92345253481488
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 458,
|
||||
"id": "faiss_0",
|
||||
"position": {
|
||||
"x": 1199.3135683364685,
|
||||
"y": 520.9300176396024
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "faiss_0",
|
||||
"label": "Faiss",
|
||||
"version": 1,
|
||||
"name": "faiss",
|
||||
"type": "Faiss",
|
||||
"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upsert or Load data to Faiss Vector Store",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Base Path to load",
|
||||
"name": "basePath",
|
||||
"description": "Path to load faiss.index file",
|
||||
"placeholder": "C:\\Users\\User\\Desktop",
|
||||
"type": "string",
|
||||
"id": "faiss_0-input-basePath-string"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Default to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "faiss_0-input-topK-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"optional": true,
|
||||
"id": "faiss_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "faiss_0-input-embeddings-Embeddings"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": ["{{textFile_0.data.instance}}"],
|
||||
"embeddings": "{{localAIEmbeddings_0.data.instance}}",
|
||||
"basePath": "C:\\Users\\your-folder",
|
||||
"topK": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Faiss Retriever",
|
||||
"type": "Faiss | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "faiss_0-output-vectorStore-Faiss|SaveableVectorStore|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Faiss Vector Store",
|
||||
"type": "Faiss | SaveableVectorStore | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1199.3135683364685,
|
||||
"y": 520.9300176396024
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "faissUpsert_0",
|
||||
"sourceHandle": "faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "faissUpsert_0-faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatLocalAI_0",
|
||||
"sourceHandle": "chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatLocalAI_0-chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "recursiveCharacterTextSplitter_1",
|
||||
"sourceHandle": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
|
||||
@@ -546,12 +646,23 @@
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "textFile_0",
|
||||
"sourceHandle": "textFile_0-output-textFile-Document",
|
||||
"target": "faissUpsert_0",
|
||||
"targetHandle": "faissUpsert_0-input-document-Document",
|
||||
"source": "chatOllama_0",
|
||||
"sourceHandle": "chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "textFile_0-textFile_0-output-textFile-Document-faissUpsert_0-faissUpsert_0-input-document-Document",
|
||||
"id": "chatOllama_0-chatOllama_0-output-chatOllama-ChatOllama|SimpleChatModel|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "textFile_0",
|
||||
"sourceHandle": "textFile_0-output-document-Document",
|
||||
"target": "faiss_0",
|
||||
"targetHandle": "faiss_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "textFile_0-textFile_0-output-document-Document-faiss_0-faiss_0-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
@@ -559,10 +670,21 @@
|
||||
{
|
||||
"source": "localAIEmbeddings_0",
|
||||
"sourceHandle": "localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings",
|
||||
"target": "faissUpsert_0",
|
||||
"targetHandle": "faissUpsert_0-input-embeddings-Embeddings",
|
||||
"target": "faiss_0",
|
||||
"targetHandle": "faiss_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "localAIEmbeddings_0-localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings-faissUpsert_0-faissUpsert_0-input-embeddings-Embeddings",
|
||||
"id": "localAIEmbeddings_0-localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings-faiss_0-faiss_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "faiss_0",
|
||||
"sourceHandle": "faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "faiss_0-faiss_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user