Deprecated

use ConversationalRetrievalQAChain instead.

Hierarchy

Implements

Constructors

Properties

chatHistoryKey: string = "chat_history"
combineDocumentsChain: BaseChain<ChainValues, ChainValues>
inputKey: string = "question"
k: number = 4
outputKey: string = "result"
questionGeneratorChain: LLMChain<string, LLMType>
returnSourceDocuments: boolean = false
vectorstore: VectorStore
verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
memory?: BaseMemory
metadata?: Record<string, unknown>
tags?: string[]

Accessors

Methods

  • Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.

    Type Parameters

    • NewRunOutput

    Parameters

    • coerceable: RunnableLike<ChainValues, NewRunOutput>

      A runnable, function, or object whose values are functions or runnables.

    Returns RunnableSequence<ChainValues, Exclude<NewRunOutput, Error>>

    A new runnable sequence.

  • Parameters

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

    Returns Promise<Record<string, unknown>>

  • Stream output in chunks.

    Parameters

    Returns Promise<IterableReadableStream<ChainValues>>

    A readable stream that is also an iterable.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.

    Parameters

    Returns AsyncGenerator<ChainValues, any, unknown>

  • Bind lifecycle listeners to a Runnable, returning a new Runnable. The Run object contains information about the run, including its id, type, input, output, error, startTime, endTime, and any tags or metadata added to the run.

    Parameters

    • params: {
          onEnd?: ((run, config?) => void | Promise<void>);
          onError?: ((run, config?) => void | Promise<void>);
          onStart?: ((run, config?) => void | Promise<void>);
      }

      The object containing the callback functions.

      • Optional onEnd?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called after the runnable finishes running, with the Run object.

            Parameters

            Returns void | Promise<void>

      • Optional onError?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called if the runnable throws an error, with the Run object.

            Parameters

            Returns void | Promise<void>

      • Optional onStart?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called before the runnable starts running, with the Run object.

            Parameters

            Returns void | Promise<void>

    Returns Runnable<ChainValues, ChainValues, BaseCallbackConfig>

  • Creates an instance of ChatVectorDBQAChain using a BaseLanguageModel and other options.

    Parameters

    • llm: BaseLanguageModel<any, BaseLanguageModelCallOptions>

      Instance of BaseLanguageModel used to generate a new question.

    • vectorstore: VectorStore

      Instance of VectorStore used for vector operations.

    • options: {
          inputKey?: string;
          k?: number;
          outputKey?: string;
          qaTemplate?: string;
          questionGeneratorTemplate?: string;
          returnSourceDocuments?: boolean;
          verbose?: boolean;
      } = {}

      (Optional) Additional options for creating the ChatVectorDBQAChain instance.

      • Optional inputKey?: string
      • Optional k?: number
      • Optional outputKey?: string
      • Optional qaTemplate?: string
      • Optional questionGeneratorTemplate?: string
      • Optional returnSourceDocuments?: boolean
      • Optional verbose?: boolean

    Returns ChatVectorDBQAChain

    New instance of ChatVectorDBQAChain.

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