Weaviate
Open-source vector database for AI applications and semantic search
Weaviate graduates search APIs to GA while tutorial volume signals an engine in maintenance mode
◆Recent moves
- 7d agoView source ↗
HFresh: Memory-Efficient Vector Search
- 8d ago
Building Foundry Part 3: From archive to creative search
Part 3 of the Foundry tutorial series — demonstrating how to build a searchable creative archive using a manifest, Weaviate, and hybrid search. Developer education content, not a product release.
View source ↗ - 15d ago
How to extract meaning from charts and tables in PDFs
A technical tutorial on using late-interaction multi-vector retrieval to search PDF charts and tables without OCR or text extraction. Demonstrates a real Weaviate capability but is developer education, not a product update.
View source ↗ - 20d ago
Weaviate 1.39 Release
Weaviate 1.39 graduates the Boost API and MMR diversity selection to GA, adding stability guarantees for two widely used search features. The 4-bit RQ preview and experimental Search REST API are the new surfaces — both early availability but signaling where memory efficiency and API design are heading.
View source ↗ - 1mo ago
Building Foundry Part 2: Where creative workflows break
Part 2 of the Foundry series, covering why folders, tags, and keyword search break down in real creative workflows and what retrieval needs to do instead. Developer education, not a product release.
View source ↗ - 1mo ago
Scaling Test-Time Compute in Search Mode
The Query Agent's Search Mode gains three effort tiers — medium, high, and ultrahigh — letting callers trade latency for retrieval quality. A meaningful addition for precision-sensitive use cases, fitting the trajectory toward a more configurable agentic search layer.
View source ↗