mirror of
https://github.com/lancedb/lancedb.git
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@@ -194,6 +194,37 @@ currently is also a memory intensive operation.
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***
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### ivfRq()
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```ts
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static ivfRq(options?): Index
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```
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Create an IvfRq index
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IVF-RQ (RabitQ Quantization) compresses vectors using RabitQ quantization
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and organizes them into IVF partitions.
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The compression scheme is called RabitQ quantization. Each dimension is quantized into a small number of bits.
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The parameters `num_bits` and `num_partitions` control this process, providing a tradeoff
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between index size (and thus search speed) and index accuracy.
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The partitioning process is called IVF and the `num_partitions` parameter controls how
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many groups to create.
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Note that training an IVF RQ index on a large dataset is a slow operation and
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currently is also a memory intensive operation.
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#### Parameters
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* **options?**: `Partial`<[`IvfRqOptions`](../interfaces/IvfRqOptions.md)>
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#### Returns
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[`Index`](Index.md)
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***
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### labelList()
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```ts
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@@ -52,6 +52,30 @@ the merge result
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***
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### useIndex()
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```ts
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useIndex(useIndex): MergeInsertBuilder
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```
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Controls whether to use indexes for the merge operation.
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When set to `true` (the default), the operation will use an index if available
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on the join key for improved performance. When set to `false`, it forces a full
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table scan even if an index exists. This can be useful for benchmarking or when
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the query optimizer chooses a suboptimal path.
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#### Parameters
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* **useIndex**: `boolean`
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Whether to use indices for the merge operation. Defaults to `true`.
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#### Returns
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[`MergeInsertBuilder`](MergeInsertBuilder.md)
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***
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### whenMatchedUpdateAll()
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```ts
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@@ -68,6 +68,7 @@
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- [IndexStatistics](interfaces/IndexStatistics.md)
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- [IvfFlatOptions](interfaces/IvfFlatOptions.md)
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- [IvfPqOptions](interfaces/IvfPqOptions.md)
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- [IvfRqOptions](interfaces/IvfRqOptions.md)
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- [MergeResult](interfaces/MergeResult.md)
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- [OpenTableOptions](interfaces/OpenTableOptions.md)
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- [OptimizeOptions](interfaces/OptimizeOptions.md)
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