Class PairwiseEmbeddingDistanceEvalChain

Use embedding distances to score semantic difference between two predictions.

Hierarchy

  • PairwiseStringEvaluator
    • PairwiseEmbeddingDistanceEvalChain

Implements

Constructors

Properties

distanceMetric: EmbeddingDistanceType = "cosine"

The distance metric to use for comparing the embeddings.

outputKey: string = "score"
requiresInput: boolean = false
requiresReference: boolean = false
verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
embedding?: Embeddings

The embedding objects to vectorize the outputs.

evaluationName?: string = ...

The name of the evaluation.

memory?: BaseMemory
metadata?: Record<string, unknown>
skipInputWarning?: string = ...
skipReferenceWarning?: string = ...
tags?: string[]

Accessors

  • get inputKeys(): string[]
  • Returns string[]

  • get outputKeys(): string[]
  • Returns string[]

Methods

  • Call the chain on all inputs in the list

    Parameters

    Returns Promise<ChainValues[]>

  • Default implementation of batch, which calls invoke N times. Subclasses should override this method if they can batch more efficiently.

    Parameters

    Returns Promise<ChainValues[]>

    An array of RunOutputs, or mixed RunOutputs and errors if batchOptions.returnExceptions is set

  • Parameters

    Returns Promise<(Error | ChainValues)[]>

  • Parameters

    Returns Promise<(Error | ChainValues)[]>

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

    Wraps _call and handles memory.

    Parameters

    Returns Promise<ChainValues>

  • Check if the evaluation arguments are valid.

    Parameters

    • Optional reference: string

      The reference label.

    • Optional input: string

      The input string.

    Returns void

    Throws

    If the evaluator requires an input string but none is provided, or if the evaluator requires a reference label but none is provided.

  • Evaluate the output string pairs.

    Parameters

    Returns Promise<ChainValues>

    A dictionary containing the preference, scores, and/or other information.

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

    Parameters

    Returns Promise<ChainValues>

    Promise that resolves with the output of the chain run.

  • 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

    Returns Promise<string>

  • Return a json-like object representing this chain.

    Returns SerializedBaseChain

  • 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>

  • Returns Serialized

  • 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>

  • Parameters

    • thing: any

    Returns thing is Runnable<any, any, BaseCallbackConfig>

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