Function maximalMarginalRelevance

maximalMarginalRelevance(queryEmbedding, embeddingList, lambda?, k?): 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.
- Optional lambda: number = 0.5
  
  The trade-off parameter between relevance and diversity.
- Optional k: number = 4
  
  The maximum number of embeddings to select.
Returns number[]
The indexes of the selected embeddings in the embeddingList.
- Defined in docs/api_refs/langchain/src/util/math.ts:90

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