| Name | Type | Description | Notes |
|---|---|---|---|
| query | string | Natural language search query (mutually exclusive with vector) | [optional] |
| vector | float[] | Pre-computed embedding vector (mutually exclusive with query). Array length must match collection dimension. | [optional] |
| limit | int | Maximum number of results to return | [optional] [default to 5] |
| threshold | float | Minimum similarity score (0-1, higher = more relevant) | [optional] [default to 0.7] |
| include_embeddings | bool | Include embedding vectors in response (for debugging) | [optional] [default to false] |
| filter | \QuantClient\Model\QueryVectorCollectionRequestFilter | [optional] | |
| list_by_metadata | bool | If true, skip semantic search and return all documents matching the filter. Requires filter. Supports cursor pagination. | [optional] [default to false] |
| cursor | string | Pagination cursor for listByMetadata mode. Use nextCursor from previous response. Opaque format - do not construct manually. | [optional] |
| sort_by | string | Field to sort by in listByMetadata mode | [optional] [default to 'created_at'] |
| sort_order | string | Sort direction in listByMetadata mode | [optional] [default to 'desc'] |