agsamantha/node_modules/langchain/dist/chains/history_aware_retriever.d.ts

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2024-10-02 15:15:21 -05:00
import type { LanguageModelLike } from "@langchain/core/language_models/base";
import { type Runnable, type RunnableInterface } from "@langchain/core/runnables";
import { type BasePromptTemplate } from "@langchain/core/prompts";
import type { DocumentInterface } from "@langchain/core/documents";
import type { BaseMessage } from "@langchain/core/messages";
/**
* Params for the createHistoryAwareRetriever method.
*/
export type CreateHistoryAwareRetrieverParams = {
/**
* Language model to use for generating a search term given chat history.
*/
llm: LanguageModelLike;
/**
* RetrieverLike object that takes a string as input and outputs a list of Documents.
*/
retriever: RunnableInterface<string, DocumentInterface[]>;
/**
* The prompt used to generate the search query for the retriever.
*/
rephrasePrompt: BasePromptTemplate;
};
/**
* Create a chain that takes conversation history and returns documents.
* If there is no `chat_history`, then the `input` is just passed directly to the
* retriever. If there is `chat_history`, then the prompt and LLM will be used
* to generate a search query. That search query is then passed to the retriever.
* @param {CreateHistoryAwareRetriever} params
* @returns An LCEL Runnable. The runnable input must take in `input`, and if there
* is chat history should take it in the form of `chat_history`.
* The Runnable output is a list of Documents
* @example
* ```typescript
* // yarn add langchain @langchain/openai
*
* import { ChatOpenAI } from "@langchain/openai";
* import { pull } from "langchain/hub";
* import { createHistoryAwareRetriever } from "langchain/chains/history_aware_retriever";
*
* const rephrasePrompt = await pull("langchain-ai/chat-langchain-rephrase");
* const llm = new ChatOpenAI({});
* const retriever = ...
* const chain = await createHistoryAwareRetriever({
* llm,
* retriever,
* rephrasePrompt,
* });
* const result = await chain.invoke({"input": "...", "chat_history": [] })
* ```
*/
export declare function createHistoryAwareRetriever({ llm, retriever, rephrasePrompt, }: CreateHistoryAwareRetrieverParams): Promise<Runnable<{
input: string;
chat_history: string | BaseMessage[];
}, DocumentInterface[]>>;