Function maximalMarginalRelevance

maximalMarginalRelevance(
    queryEmbedding: number[] | number[][],
    embeddingList: number[][],
    lambda?: number,
    k?: number,
): number[]
This function implements the Maximal Marginal Relevance algorithm to select a set of embeddings that maximizes the diversity and relevance to a query embedding.
Parameters
- queryEmbedding: number[] | number[][]
  The query embedding.
- embeddingList: number[][]
  The list of embeddings to select from.
- Optionallambda: number = 0.5
  The trade-off parameter between relevance and diversity.
- Optionalk: number = 4
  The maximum number of embeddings to select.
Returns number[]
The indexes of the selected embeddings in the embeddingList.
- Defined in remotes/langchain-ai/langchainjs/v1/libs/langchain-core/src/utils/math.ts:89