Skip to main contentOctober 2025
- Features: Added
update()API to simplify partial record updates.
- Features: Shipped support for
delete-by-filter operations for more flexible bulk deletions.
- Docs & SDKs: Added support for Cohere’s embed-v4 model in
semantic_index() and exposed organization limits in ddb-management-plane for improved visibility and management.
September 2025
- Docs & SDKs: Published SDK reference for Python and JavaScript clients, and added detailed docstrings for a smoother developer experience in both SDKs
- Python SDK: Released
AsyncClient for easier async workflows.
- String Operators: Added
lt, lte, gt, gte, min, and max.
- Query Helpers: Introduced
any and all helpers.
- List Support: Added
contains and in operators for list fields.
- Observability: Added Query Latency and Write Latency charts to the Usage Metrics in console.
- New Data Type: Added
int8 vector support.
- Eager Caching: Added support for eager caching to mitigate tail latencies for concurrent read/write workloads.
- Faster GETs: Added option to cache raw document data and improved performance with zero-copy design.
- Performance: Improved performance for queries with default & strong consistency level.
August 2025
- Lists Data Type: Native support for list fields.
- Performance: Added
skip_refine query option to improve speed when reranking isn’t needed.
- Monitoring: Usage Metrics now available directly in the console.
July 2025
- Math Operators: Added
ln, exp, sqrt, square, min, max, and abs.
- Advanced Querying: Introduced
choose, match_all, match_any, coalesce, and boost (with null coalescing).
- Binary Data: Added
bytes() constructor to the Python SDK.
- Performance: Optimized workload distribution for large-sacle deployments.
June 2025
- Sparse Vectors: Added support for f32 and u8 sparse vector fields.
- Benchmarks: Published billion-scale benchmarks for dense & sparse vector search with filtering.