89 lines
3.7 KiB
JavaScript
89 lines
3.7 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.loadQARefineChain = exports.loadQAMapReduceChain = exports.loadQAStuffChain = exports.loadQAChain = void 0;
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const llm_chain_js_1 = require("../llm_chain.cjs");
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const combine_docs_chain_js_1 = require("../combine_docs_chain.cjs");
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const stuff_prompts_js_1 = require("./stuff_prompts.cjs");
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const map_reduce_prompts_js_1 = require("./map_reduce_prompts.cjs");
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const refine_prompts_js_1 = require("./refine_prompts.cjs");
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const loadQAChain = (llm, params = { type: "stuff" }) => {
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const { type } = params;
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if (type === "stuff") {
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return loadQAStuffChain(llm, params);
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}
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if (type === "map_reduce") {
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return loadQAMapReduceChain(llm, params);
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}
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if (type === "refine") {
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return loadQARefineChain(llm, params);
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}
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throw new Error(`Invalid _type: ${type}`);
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};
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exports.loadQAChain = loadQAChain;
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/**
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* Loads a StuffQAChain based on the provided parameters. It takes an LLM
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* instance and StuffQAChainParams as parameters.
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* @param llm An instance of BaseLanguageModel.
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* @param params Parameters for creating a StuffQAChain.
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* @returns A StuffQAChain instance.
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*/
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function loadQAStuffChain(llm, params = {}) {
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const { prompt = stuff_prompts_js_1.QA_PROMPT_SELECTOR.getPrompt(llm), verbose } = params;
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const llmChain = new llm_chain_js_1.LLMChain({ prompt, llm, verbose });
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const chain = new combine_docs_chain_js_1.StuffDocumentsChain({ llmChain, verbose });
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return chain;
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}
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exports.loadQAStuffChain = loadQAStuffChain;
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/**
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* Loads a MapReduceQAChain based on the provided parameters. It takes an
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* LLM instance and MapReduceQAChainParams as parameters.
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* @param llm An instance of BaseLanguageModel.
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* @param params Parameters for creating a MapReduceQAChain.
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* @returns A MapReduceQAChain instance.
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*/
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function loadQAMapReduceChain(llm, params = {}) {
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const { combineMapPrompt = map_reduce_prompts_js_1.COMBINE_QA_PROMPT_SELECTOR.getPrompt(llm), combinePrompt = map_reduce_prompts_js_1.COMBINE_PROMPT_SELECTOR.getPrompt(llm), verbose, combineLLM, returnIntermediateSteps, } = params;
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const llmChain = new llm_chain_js_1.LLMChain({ prompt: combineMapPrompt, llm, verbose });
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const combineLLMChain = new llm_chain_js_1.LLMChain({
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prompt: combinePrompt,
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llm: combineLLM ?? llm,
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verbose,
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});
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const combineDocumentChain = new combine_docs_chain_js_1.StuffDocumentsChain({
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llmChain: combineLLMChain,
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documentVariableName: "summaries",
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verbose,
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});
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const chain = new combine_docs_chain_js_1.MapReduceDocumentsChain({
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llmChain,
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combineDocumentChain,
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returnIntermediateSteps,
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verbose,
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});
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return chain;
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}
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exports.loadQAMapReduceChain = loadQAMapReduceChain;
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/**
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* Loads a RefineQAChain based on the provided parameters. It takes an LLM
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* instance and RefineQAChainParams as parameters.
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* @param llm An instance of BaseLanguageModel.
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* @param params Parameters for creating a RefineQAChain.
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* @returns A RefineQAChain instance.
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*/
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function loadQARefineChain(llm, params = {}) {
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const { questionPrompt = refine_prompts_js_1.QUESTION_PROMPT_SELECTOR.getPrompt(llm), refinePrompt = refine_prompts_js_1.REFINE_PROMPT_SELECTOR.getPrompt(llm), refineLLM, verbose, } = params;
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const llmChain = new llm_chain_js_1.LLMChain({ prompt: questionPrompt, llm, verbose });
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const refineLLMChain = new llm_chain_js_1.LLMChain({
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prompt: refinePrompt,
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llm: refineLLM ?? llm,
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verbose,
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});
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const chain = new combine_docs_chain_js_1.RefineDocumentsChain({
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llmChain,
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refineLLMChain,
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verbose,
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});
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return chain;
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}
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exports.loadQARefineChain = loadQARefineChain;
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