Type: vector.HybridSearch
Namespace: vector
Description
Hybrid search combining semantic and keyword-based search for better retrieval. Uses reciprocal rank fusion to combine results from both methods. vector, RAG, query, semantic, text, similarity
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| collection | collection |
The collection to query | {"type":"collection","name":""} |
| text | str |
The text to query | `` |
| n_results | int |
The number of final results to return | 5 |
| k_constant | float |
Constant for reciprocal rank fusion (default: 60.0) | 60 |
| min_keyword_length | int |
Minimum length for keyword tokens | 3 |
Outputs
| Output | Type | Description |
|---|---|---|
| ids | list[str] |
|
| documents | list[str] |
|
| metadatas | list[dict] |
|
| distances | list[float] |
|
| scores | list[float] |
Related Nodes
Browse other nodes in the vector namespace.