Class ConversationalRetrievalQAChain

Class for conducting conversational question-answering tasks with a retrieval component. Extends the BaseChain class and implements the ConversationalRetrievalQAChainInput interface.

Example

const model = new ChatAnthropic({});

const text = fs.readFileSync("state_of_the_union.txt", "utf8");

const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
const docs = await textSplitter.createDocuments([text]);

const vectorStore = await HNSWLib.fromDocuments(docs, new OpenAIEmbeddings());

const chain = ConversationalRetrievalQAChain.fromLLM(
  model,
  vectorStore.asRetriever(),
);

const question = "What did the president say about Justice Breyer?";

const res = await chain.call({ question, chat_history: "" });
console.log(res);

const chatHistory = `${question}\n${res.text}`;
const followUpRes = await chain.call({
  question: "Was that nice?",
  chat_history: chatHistory,
});
console.log(followUpRes);

Hierarchy (view full)

Implements

Constructors

constructor

Properties

chatHistoryKey combineDocumentsChain inputKey questionGeneratorChain retriever returnGeneratedQuestion returnSourceDocuments memory?

Accessors

inputKeys outputKeys

Methods

apply call invoke prepOutputs run serialize deserialize fromLLM getChatHistoryString

Constructors

constructor

Properties

chatHistoryKey

chatHistoryKey: string = "chat_history"

combineDocumentsChain

combineDocumentsChain: BaseChain<ChainValues, ChainValues>

inputKey

inputKey: string = "question"

questionGeneratorChain

questionGeneratorChain: LLMChain<string, any>

retriever

retriever: BaseRetrieverInterface

returnGeneratedQuestion

returnGeneratedQuestion: boolean = false

returnSourceDocuments

returnSourceDocuments: boolean = false

Optional memory

memory?: any

Accessors

inputKeys

outputKeys

Methods

apply

  • apply(inputs, config?): Promise<ChainValues[]>

  • Parameters

    • inputs: ChainValues[]
    • Optional config: any[]

    Returns Promise<ChainValues[]>

    ⚠️ Deprecated ⚠️

    Use .batch() instead. Will be removed in 0.2.0.

    This feature is deprecated and will be removed in the future.

    It is not recommended for use.

    Call the chain on all inputs in the list

call

  • call(values, config?, tags?): Promise<ChainValues>

  • Parameters

    • values: any
    • Optional config: any
    • Optional tags: string[]

      Deprecated

    Returns Promise<ChainValues>

    Deprecated

    Use .invoke() instead. Will be removed in 0.2.0.

    Run the core logic of this chain and add to output if desired.

    Wraps _call and handles memory.

invoke

  • invoke(input, options?): Promise<ChainValues>

  • Invoke the chain with the provided input and returns the output.

    Parameters

    • input: ChainValues

      Input values for the chain run.

    • Optional options: any

    Returns Promise<ChainValues>

    Promise that resolves with the output of the chain run.

prepOutputs

  • prepOutputs(inputs, outputs, returnOnlyOutputs?): Promise<Record<string, unknown>>

  • Parameters

    • inputs: Record<string, unknown>
    • outputs: Record<string, unknown>
    • returnOnlyOutputs: boolean = false

    Returns Promise<Record<string, unknown>>

run

  • run(input, config?): Promise<string>

  • Parameters

    • input: any
    • Optional config: any

    Returns Promise<string>

    Deprecated

    Use .invoke() instead. Will be removed in 0.2.0.

serialize

Static deserialize

Static fromLLM

Static getChatHistoryString

  • getChatHistoryString(chatHistory): string

  • Static method to convert the chat history input into a formatted string.

    Parameters

    • chatHistory: string | BaseMessage[] | string[][]

      Chat history input which can be a string, an array of BaseMessage instances, or an array of string arrays.

    Returns string

    A formatted string representing the chat history.

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