Blogs›Weaviate›Weaviate Release Notes
This post details the release of Weaviate v1.36, introducing HFresh (a new disk-based vector index in technical preview), and bringing Server-side Batching, Object TTL, Async Replication Improvements, Drop Inverted Indices, and Backup Restoration Cancellation to general availability. These updates focus on indexing performance, data lifecycle management, and operational reliability at scale.
6/25/2026
Introduces HFresh disk-based vector index (GA), MCP Server (GA), cluster-wide async replication (default), Boost API (Preview), and Nested Object Filtering (Preview). Also details performance improvements like production-ready replica movement, default vector index type setting, usage guardrails, and fractional BM25 property boosts.
3/3/2026
Introduces HFresh, a new disk-based vector index in technical preview, inspired by the SPFresh algorithm. HFresh divides vectors into postings stored on disk, using an in-memory HNSW index over centroids for efficient search. It features incremental rebalancing, uses HNSW for centroid indexing, and employs Rotational Quantization (RQ) for compression. Key tunable parameters include searchProbe, replicas, and maxPostingSizeKB. It supports cosine and l2-squared distance metrics and is suitable for large datasets, cost-sensitive deployments, and write-heavy workloads. Server-side Batching is now generally available, using a persistent connection and dynamic backpressure for optimized throughput. Object TTL is also generally available, allowing expiration of objects based on creation time, last update time, or a date property, with configurable deletion schedules and an option to filter expired objects. Async replication is now generally available with collection-level configuration via the new `asyncConfig` parameter, offering fine-grained control over data comparison and propagation between nodes.