add localai embeddings
This commit is contained in:
Henry
parent
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commit
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
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class LocalAIEmbedding_Embeddings implements INode {
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label: string
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name: string
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type: string
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icon: string
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category: string
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description: string
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baseClasses: string[]
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inputs: INodeParams[]
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constructor() {
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this.label = 'LocalAI Embeddings'
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this.name = 'localAIEmbeddings'
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this.type = 'LocalAI Embeddings'
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this.icon = 'localai.png'
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this.category = 'Embeddings'
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this.description = 'Use local embeddings models like llama.cpp'
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this.baseClasses = [this.type, 'Embeddings']
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this.inputs = [
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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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},
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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: 'text-embedding-ada-002'
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}
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]
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}
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async init(nodeData: INodeData): Promise<any> {
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const modelName = nodeData.inputs?.modelName as string
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const basePath = nodeData.inputs?.basePath as string
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const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
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modelName,
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openAIApiKey: 'sk-'
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}
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const model = new OpenAIEmbeddings(obj, { basePath })
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return model
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}
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}
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module.exports = { nodeClass: LocalAIEmbedding_Embeddings }
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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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"nodes": [
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{
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"width": 300,
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"height": 376,
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"id": "recursiveCharacterTextSplitter_1",
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"position": {
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"x": 422.81091375202413,
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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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"type": "RecursiveCharacterTextSplitter",
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"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
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"category": "Text Splitters",
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"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
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"inputParams": [
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{
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"label": "Chunk Size",
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"name": "chunkSize",
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"type": "number",
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"default": 1000,
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"optional": true,
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"id": "recursiveCharacterTextSplitter_1-input-chunkSize-number"
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},
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{
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"label": "Chunk Overlap",
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"name": "chunkOverlap",
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"type": "number",
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"optional": true,
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"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"chunkSize": 1000,
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"chunkOverlap": ""
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},
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"outputAnchors": [
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{
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"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
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"name": "recursiveCharacterTextSplitter",
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"label": "RecursiveCharacterTextSplitter",
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"type": "RecursiveCharacterTextSplitter | TextSplitter"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"x": 422.81091375202413,
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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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"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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},
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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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"type": "ConversationalRetrievalQAChain",
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"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
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"category": "Chains",
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"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
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"inputParams": [
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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},
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{
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"label": "System Message",
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"name": "systemMessagePrompt",
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"type": "string",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"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.",
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"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
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},
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{
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"label": "Chain Option",
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"name": "chainOption",
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"type": "options",
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"options": [
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{
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"label": "MapReduceDocumentsChain",
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"name": "map_reduce",
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"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
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},
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{
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"label": "RefineDocumentsChain",
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"name": "refine",
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"description": "Suitable for QA tasks over a large number of documents."
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},
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{
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"label": "StuffDocumentsChain",
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"name": "stuff",
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"description": "Suitable for QA tasks over a small number of documents."
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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": "conversationalRetrievalQAChain_0-input-chainOption-options"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Vector Store Retriever",
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"name": "vectorStoreRetriever",
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"type": "BaseRetriever",
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"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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}
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],
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"inputs": {
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"model": "{{chatLocalAI_0.data.instance}}",
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"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}"
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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
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"name": "conversationalRetrievalQAChain",
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"label": "ConversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain | BaseChain | 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": 1634.455879160561,
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"y": 428.77742668929807
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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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"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": -44.05401001663306
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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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"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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"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": -44.05401001663306
|
||||||
|
},
|
||||||
|
"dragging": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"width": 300,
|
||||||
|
"height": 410,
|
||||||
|
"id": "textFile_0",
|
||||||
|
"position": {
|
||||||
|
"x": 809.5432731751458,
|
||||||
|
"y": 55.85095796777051
|
||||||
|
},
|
||||||
|
"type": "customNode",
|
||||||
|
"data": {
|
||||||
|
"id": "textFile_0",
|
||||||
|
"label": "Text File",
|
||||||
|
"name": "textFile",
|
||||||
|
"type": "Document",
|
||||||
|
"baseClasses": ["Document"],
|
||||||
|
"category": "Document Loaders",
|
||||||
|
"description": "Load data from text files",
|
||||||
|
"inputParams": [
|
||||||
|
{
|
||||||
|
"label": "Txt File",
|
||||||
|
"name": "txtFile",
|
||||||
|
"type": "file",
|
||||||
|
"fileType": ".txt",
|
||||||
|
"id": "textFile_0-input-txtFile-file"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Metadata",
|
||||||
|
"name": "metadata",
|
||||||
|
"type": "json",
|
||||||
|
"optional": true,
|
||||||
|
"additionalParams": true,
|
||||||
|
"id": "textFile_0-input-metadata-json"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputAnchors": [
|
||||||
|
{
|
||||||
|
"label": "Text Splitter",
|
||||||
|
"name": "textSplitter",
|
||||||
|
"type": "TextSplitter",
|
||||||
|
"optional": true,
|
||||||
|
"id": "textFile_0-input-textSplitter-TextSplitter"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputs": {
|
||||||
|
"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}",
|
||||||
|
"metadata": ""
|
||||||
|
},
|
||||||
|
"outputAnchors": [
|
||||||
|
{
|
||||||
|
"id": "textFile_0-output-textFile-Document",
|
||||||
|
"name": "textFile",
|
||||||
|
"label": "Document",
|
||||||
|
"type": "Document"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"outputs": {},
|
||||||
|
"selected": false
|
||||||
|
},
|
||||||
|
"selected": false,
|
||||||
|
"positionAbsolute": {
|
||||||
|
"x": 809.5432731751458,
|
||||||
|
"y": 55.85095796777051
|
||||||
|
},
|
||||||
|
"dragging": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"width": 300,
|
||||||
|
"height": 376,
|
||||||
|
"id": "localAIEmbeddings_0",
|
||||||
|
"position": {
|
||||||
|
"x": 809.5432731751458,
|
||||||
|
"y": 507.4586304746849
|
||||||
|
},
|
||||||
|
"type": "customNode",
|
||||||
|
"data": {
|
||||||
|
"id": "localAIEmbeddings_0",
|
||||||
|
"label": "LocalAI Embeddings",
|
||||||
|
"name": "localAIEmbeddings",
|
||||||
|
"type": "LocalAI Embeddings",
|
||||||
|
"baseClasses": ["LocalAI Embeddings", "Embeddings"],
|
||||||
|
"category": "Embeddings",
|
||||||
|
"description": "Use local embeddings models like llama.cpp",
|
||||||
|
"inputParams": [
|
||||||
|
{
|
||||||
|
"label": "Base Path",
|
||||||
|
"name": "basePath",
|
||||||
|
"type": "string",
|
||||||
|
"placeholder": "http://localhost:8080/v1",
|
||||||
|
"id": "localAIEmbeddings_0-input-basePath-string"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Model Name",
|
||||||
|
"name": "modelName",
|
||||||
|
"type": "string",
|
||||||
|
"placeholder": "text-embedding-ada-002",
|
||||||
|
"id": "localAIEmbeddings_0-input-modelName-string"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputAnchors": [],
|
||||||
|
"inputs": {
|
||||||
|
"basePath": "http://localhost:8080/v1",
|
||||||
|
"modelName": "text-embedding-ada-002"
|
||||||
|
},
|
||||||
|
"outputAnchors": [
|
||||||
|
{
|
||||||
|
"id": "localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings",
|
||||||
|
"name": "localAIEmbeddings",
|
||||||
|
"label": "LocalAI Embeddings",
|
||||||
|
"type": "LocalAI Embeddings | Embeddings"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"outputs": {},
|
||||||
|
"selected": false
|
||||||
|
},
|
||||||
|
"selected": false,
|
||||||
|
"positionAbsolute": {
|
||||||
|
"x": 809.5432731751458,
|
||||||
|
"y": 507.4586304746849
|
||||||
|
},
|
||||||
|
"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",
|
||||||
|
"target": "textFile_0",
|
||||||
|
"targetHandle": "textFile_0-input-textSplitter-TextSplitter",
|
||||||
|
"type": "buttonedge",
|
||||||
|
"id": "recursiveCharacterTextSplitter_1-recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_0-textFile_0-input-textSplitter-TextSplitter",
|
||||||
|
"data": {
|
||||||
|
"label": ""
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"source": "textFile_0",
|
||||||
|
"sourceHandle": "textFile_0-output-textFile-Document",
|
||||||
|
"target": "faissUpsert_0",
|
||||||
|
"targetHandle": "faissUpsert_0-input-document-Document",
|
||||||
|
"type": "buttonedge",
|
||||||
|
"id": "textFile_0-textFile_0-output-textFile-Document-faissUpsert_0-faissUpsert_0-input-document-Document",
|
||||||
|
"data": {
|
||||||
|
"label": ""
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"source": "localAIEmbeddings_0",
|
||||||
|
"sourceHandle": "localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings",
|
||||||
|
"target": "faissUpsert_0",
|
||||||
|
"targetHandle": "faissUpsert_0-input-embeddings-Embeddings",
|
||||||
|
"type": "buttonedge",
|
||||||
|
"id": "localAIEmbeddings_0-localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings-faissUpsert_0-faissUpsert_0-input-embeddings-Embeddings",
|
||||||
|
"data": {
|
||||||
|
"label": ""
|
||||||
|
}
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
Loading…
Reference in New Issue