Class ChatVectorDBQAChain

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[]
lc_runnable: boolean = true

Accessors

Methods

  • 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>

  • 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.

  • Helper method to transform an Iterator of Input values into an Iterator of Output values, with callbacks. Use this to implement stream() or transform() in Runnable subclasses.

    Type Parameters

    Parameters

    • inputGenerator: AsyncGenerator<I, any, unknown>
    • transformer: ((generator, runManager?, options?) => AsyncGenerator<O, any, unknown>)
        • (generator, runManager?, options?): AsyncGenerator<O, any, unknown>
        • Parameters

          Returns AsyncGenerator<O, any, unknown>

    • Optional options: BaseCallbackConfig & {
          runType?: string;
      }

    Returns AsyncGenerator<O, any, unknown>

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