Return documents selected using the maximal marginal relevance from a vector. Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.
maxMarginalRelevanceSearchByVector(
queryEmbedding: number[],
options: MaxMarginalRelevanceSearchOptions<AzureCosmosDBNoSQLFilterType>
): Promise<Document<Record<string, any>>[]>| Name | Type | Description |
|---|---|---|
queryEmbedding* | number[] | Query embedding vector. |
options* | MaxMarginalRelevanceSearchOptions<AzureCosmosDBNoSQLFilterType> |