| Name | Type | Description |
|---|---|---|
search_text* | str | Query text used for both semantic and text search. |
search_field* | str | Name of the vector field to search (must have auto-embedding config). |
data_field_names* | list[str] | List of data field names to search in for text search. |
k | int | Default: 4 |
task_type | str | Default: 'RETRIEVAL_QUERY' |
filter_ | dict | None | Default: None |
semantic_weight | float | Default: 1.0 |
text_weight | float | Default: 1.0 |
Performs hybrid search combining semantic and text search with RRF.
Hybrid search runs both semantic search (with auto-generated embeddings) and text search (keyword matching) in parallel, then combines results using Reciprocal Rank Fusion (RRF) algorithm for optimal ranking.
Number of neighbors to return from each search before fusion.
Embedding task type for semantic search.
Optional filter dict for semantic search only (v2 only).
Weight for semantic search results in RRF.
Weight for text search results in RRF.
