This release introduces HFresh vector index (Preview), and brings Server-side Batching, Object TTL, Async Replication Improvements, Drop Inverted Indices, and Backup Restoration Cancellation to general availability.

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Weaviate v1.36 is now available, introducing HFresh as a technical preview — a new disk-based vector index inspired by the SPFresh algorithm that dramatically reduces memory usage for billion-scale datasets by storing vectors on disk and using a compact in-memory HNSW centroid index. Five features graduate to general availability: Server-side Batching (dynamic flow control for data ingestion), Object TTL (automatic expiration with creation/update/date-property strategies), Async Replication Improvements (collection-level configuration via asyncConfig), Drop Inverted Indices (reclaim disk space by removing unused indices), and Backup Restoration Cancellation (abort in-progress restores). Additional improvements include HNSW snapshots enabled by default, VoyageAI V4 model support, non-blocking segment deletions, and various bug fixes.

Weaviate 1.36 Release

Server-side Batching - General Availability ​

Async Replication Improvements - General Availability ​

Alter Schema: Drop Inverted Indices - General Availability ​

Backup Restoration Cancellation - General Availability ​

Multiple Performance Improvements and Fixes ​