Weaviate Blog

Weaviate 1.40 adds PathSeer, a third HNSW filter strategy from a SIGMOD 2026 paper, contributed by the paper's first author. How it works, and how it compares to sweeping and ACORN.

The Engram plugin gives Claude Code persistent, long-term memory, so it remembers what you've done and brings it back when it matters.

Weaviate v1.39.3 fixes a high-severity credential disclosure issue in the Google modules.

Learn how to use Engram effectively, from writing topic descriptions that control extraction to choosing bounded topics and scopes, selecting a retrieval mode, and placing memories in your prompt without hurting prompt-cache efficiency.

4-bit Rotational Quantization in Weaviate 1.39: the SIMD performance work, a centered tier, scaling analysis and a TurboQuant comparison.

HFresh is Weaviate's disk-based vector index for memory-efficient vector search, combining low heap usage with incremental background maintenance.

Part 3: We turn a messy creative archive into a searchable library using a manifest, Weaviate, and hybrid search.

PDFs full of charts and tables are notoriously hard to put through a traditional RAG pipeline. In this post, we show how late-interaction multi-vector retrieval lets you search PDFs by what the page looks like: no OCR, no chunking, no text extraction.

Weaviate 1.39 promotes the Boost API and MMR diversity selection to GA, previews 4-bit Rotational Quantization, and ships an experimental Search REST API.

Part 2: Why folders, tags, and keyword search break down in real creative workflows and what retrieval needs to do instead.

Introducing medium, high, and ultrahigh effort tiers to the Query Agent's Search Mode.