Class MixedbreadAIReranker

Document compressor that uses Mixedbread AI's rerank API.

This class utilizes Mixedbread AI's reranking model to reorder a set of documents based on their relevance to a given query. The reranked documents are then used for various applications like search results refinement.

Example

const reranker = new MixedbreadAIReranker({ apiKey: 'your-api-key' });
const documents = [{ pageContent: "To bake bread you need flour" }, { pageContent: "To bake bread you need yeast" }];
const query = "What do you need to bake bread?";
const result = await reranker.compressDocuments(documents, query);
console.log(result);

Example

const reranker = new MixedbreadAIReranker({
  apiKey: 'your-api-key',
  model: 'mixedbread-ai/mxbai-rerank-large-v1',
  topK: 5,
  rankFields: ["title", "content"],
  returnInput: true,
  maxRetries: 5
});
const documents = [{ title: "Bread Recipe", content: "To bake bread you need flour" }, { title: "Bread Recipe", content: "To bake bread you need yeast" }];
const query = "What do you need to bake bread?";
const result = await reranker.rerank(documents, query);
console.log(result);

Hierarchy

  • BaseDocumentCompressor
    • MixedbreadAIReranker

Constructors

constructor

Properties

maxRetries requestParams

Methods

compressDocuments rerank isBaseDocumentCompressor

Constructors

constructor

  • new MixedbreadAIReranker(params?): MixedbreadAIReranker

  • Constructor for MixedbreadAIReranker.

    Parameters

    Returns MixedbreadAIReranker

    Throws

    If the API key is not provided or found in the environment variables.

    Example

    const reranker = new MixedbreadAIReranker({
        apiKey: 'your-api-key',
        model: 'mixedbread-ai/mxbai-rerank-large-v1',
        maxRetries: 5
    });

Properties

maxRetries

maxRetries: number

requestParams

requestParams: RerankingRequestWithoutInput

Methods

compressDocuments

  • compressDocuments(documents, query): Promise<DocumentInterface<Record<string, any>>[]>

  • Compress documents using Mixedbread AI's reranking API.

    Parameters

    • documents: DocumentInterface<Record<string, any>>[]

      A list of documents to compress.

    • query: string

      The query to use for compressing the documents.

    Returns Promise<DocumentInterface<Record<string, any>>[]>

    A Promise that resolves to a list of compressed documents.

    Example

    const documents = [{ pageContent: "To bake bread you need flour" }, { pageContent: "To bake bread you need yeast" }];
    const query = "What do you need to bake bread?";
    const result = await reranker.compressDocuments(documents, query);
    console.log(result);

rerank

  • rerank(documents, query, options?): Promise<RankedDocument[]>

  • Reranks a list of documents based on their relevance to a query using the Mixedbread AI API. Returns an ordered list of documents sorted by their relevance to the provided query.

    Parameters

    • documents: string[] | DocumentInterface<Record<string, any>>[] | Record<string, unknown>[]

      A list of documents as strings, DocumentInterfaces, or objects with a pageContent key.

    • query: string

      The query to use for reranking the documents.

    • Optionaloptions: RerankingRequestWithoutInput

      Optional parameters for reranking.

    Returns Promise<RankedDocument[]>

    A Promise that resolves to an ordered list of documents with relevance scores.

    Example

    const documents = ["To bake bread you need flour", "To bake bread you need yeast"];
    const query = "What do you need to bake bread?";
    const result = await reranker.rerank(documents, query);
    console.log(result);

StaticisBaseDocumentCompressor

  • isBaseDocumentCompressor(x): x is BaseDocumentCompressor

  • Parameters

    • x: any

    Returns x is BaseDocumentCompressor

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