| Name | Type | Description |
|---|---|---|
query* | str | Text to look up most similar documents to. |
k | int | Default: 4Number of Documents to return. |
fetch_k | int | Default: 20Number of Documents to fetch for MMR algorithm. |
lambda_mult | float | Default: 0.5 |
search_type | str | Default: 'vector' |
with_embedding | bool | Default: False |
offset_limit | Optional[str] | Default: None |
full_text_rank_filter | Optional[List[Dict[str, str]]] | Default: None |
projection_mapping | Optional[Dict[str, Any]] | Default: None |
where | Optional[str] | Default: None |
weights | Optional[List[float]] | Default: None |
**kwargs | Any | Default: {} |
Return docs using maximal marginal relevance asynchronously.
Diversity of results (0 = max diversity, 1 = min).
Type of search to perform.
Whether to include embeddings.
Offset limit clause.
Full text rank filter.
Projection mapping.
WHERE clause.
Weights for hybrid search.
Additional keyword arguments.
