| Name | Type | Description |
|---|---|---|
query* | str | Text to look up documents similar to. |
k | int | Default: 4(Optional) number of documents to return. Defaults to 4. |
fetch_k | int | Default: 20(Optional) number of documents to fetch before passing to MMR algorithm. Defaults to 20. |
lambda_mult | float | Default: 0.5 |
pre_filter | Optional[Dict[str, Any]] | Default: None |
post_filter_pipeline | Optional[List[Dict]] | Default: None |
Return documents selected using the maximal marginal relevance.
Maximal marginal relevance optimizes for similarity to query AND diversity among selected documents.
Returns: List of documents selected by maximal marginal relevance.
Number between 0 and 1 that determines the degree of diversity among the results with 0 corresponding to maximum diversity and 1 to minimum diversity. Defaults to 0.5.
List of MQL match expressions comparing an indexed field
(Optional) pipeline of MongoDB aggregation stages following the $vectorSearch stage.
