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Release history
deeplake releases
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
v4.5.2
Maintenance
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## Deeplake v4.5.2 Release Notes - Support binary data in dataset and column metadata. - Remove dependency on `libatomic`
v4.5.1
Mixed
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Notable features
- Column statistics gathering for datasets
- Binary catalog datasets with table-catalog-type creation
- Link content passthrough capability
Full changelog
Deeplake v4.5.1 Release Notes
Performance
- mimalloc allocator — Switched core allocations to mimalloc for lower overhead
- simdjson log parsing — Faster deeplog deserialization via simdjson
- LZ4 compressed deeplog logs — Reduced on-disk deeplog size
- String optimizations and SIMD-accelerated code paths
- Reduced
nd::array sizeof — Smaller per-array memory footprint
- In-place downloads — Reduced memory copies in clustered index path
- Async prefetcher priority fix
Features
- Null value support — Full null handling in arrays, serialization, and log/replay
- Column statistics — Statistics gathering for datasets
- Link content passthrough — Pass content directly to link types
- Binary catalog datasets — Table-catalog-type dataset creation
Bug Fixes
- BM25 & inverted index — Fixed unindexed search and
IN operator queries
exact_text search — Corrected exact text search
- Fork safety — Fixed deadlock in async queues after
fork()
- Credentials refresh timing — Fixed refresh timing bug
- Region detection delay — Fixed slow region auto-detection
- Link[bytes] update — Corrected update path
- Sanitizer fixes — Multiple UBSan/TSan/ASan issues resolved
v4.4.5
Bugfix
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- Improved Deeplake support for NULL - Fixed issue with simultaneous row and column creation
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