Function: createRerankedRetriever()

createRerankedRetriever(base, options?): Retriever

Defined in: rerank.ts:23

Wrap any base Retriever with a reranker. Typical flow:

1. Vector search returns ~20 candidates (candidatePool)
2. rerank re-scores them with a stronger signal (Cohere Rerank, BGE cross-encoder, or BM25 for keyword-aware hybrid search)
3. Top topK are returned

#Parameters

#base

Retriever

#options?

RerankedRetrieverOptions = \{\}

#Returns

Retriever