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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' |
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import { RetrievalQAChain } from 'langchain/chains' |
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import { BaseRetriever } from 'langchain/schema' |
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import { CustomChainHandler, getBaseClasses } from '../../../src/utils' |
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import { BaseLanguageModel } from 'langchain/base_language' |
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class RetrievalQAChain_Chains 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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baseClasses: string[] |
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description: string |
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inputs: INodeParams[] |
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constructor() { |
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this.label = 'Retrieval QA Chain' |
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this.name = 'retrievalQAChain' |
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this.type = 'RetrievalQAChain' |
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this.icon = 'chain.svg' |
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this.category = 'Chains' |
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this.description = 'QA chain to answer a question based on the retrieved documents' |
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this.baseClasses = [this.type, ...getBaseClasses(RetrievalQAChain)] |
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this.inputs = [ |
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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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}, |
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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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} |
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] |
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} |
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async init(nodeData: INodeData): Promise<any> { |
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const model = nodeData.inputs?.model as BaseLanguageModel |
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const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever |
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const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' ? true : false }) |
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return chain |
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} |
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> { |
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const chain = nodeData.instance as RetrievalQAChain |
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const obj = { |
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query: input |
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} |
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if (options.socketIO && options.socketIOClientId) { |
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const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) |
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const res = await chain.call(obj, [handler]) |
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return res?.text |
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} else { |
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const res = await chain.call(obj) |
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return res?.text |
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} |
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} |
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} |
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module.exports = { nodeClass: RetrievalQAChain_Chains } |
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