Return docs most similar to the given embedding.
similaritySearchVectorWithScore(
queryEmbedding: number[],
k: number,
filter: Filter
): Promise<[Document<Record<string, any>>, number][]>| Name | Type | Description |
|---|---|---|
queryEmbedding* | number[] | |
k* | number | Number of Documents to return. Defaults to 4. |
filter | Filter | A dictionary of metadata fields and values to filter by. Defaults to None. |