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<!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Enhanced full-text search capabilities with support for phrase queries, fuzzy matching, boosting, and multi-column matching. - Search methods now accept full-text query objects directly, improving query flexibility and precision. - Python and JavaScript SDKs updated to handle full-text queries seamlessly, including async search support. - **Tests** - Added comprehensive tests covering fuzzy search, phrase search, and boosted queries to ensure robust full-text search functionality. - **Documentation** - Updated query class documentation to reflect new constructor options and removal of deprecated methods for clarity and simplicity. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: BubbleCal <bubble-cal@outlook.com>
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@lancedb/lancedb • Docs
@lancedb/lancedb / BoostQuery
Class: BoostQuery
Represents a full-text query interface. This interface defines the structure and behavior for full-text queries, including methods to retrieve the query type and convert the query to a dictionary format.
Implements
Constructors
new BoostQuery()
new BoostQuery(
positive,
negative,
options?): BoostQuery
Creates an instance of BoostQuery.
The boost returns documents that match the positive query,
but penalizes those that match the negative query.
the penalty is controlled by the negativeBoost parameter.
Parameters
-
positive:
FullTextQueryThe positive query that boosts the relevance score. -
negative:
FullTextQueryThe negative query that reduces the relevance score. -
options? Optional parameters for the boost query.
negativeBoost: The boost factor for the negative query (default is 0.0).
-
options.negativeBoost?:
number
Returns
Methods
queryType()
queryType(): FullTextQueryType
The type of the full-text query.