📰 Weaviate Blog

A complete guide on how to secure Weaviate enterprise deployments with OIDC, RBAC, and multi-tenant isolation.

This release introduces HFresh vector index (Preview), and brings Server-side Batching, Object TTL, Async Replication Improvements, Drop Inverted Indices, and B

Learn how we built a production-ready, end-to-end RAG application in just 36 hours using the Query Agent and the new Weaviate Agent Skills library.

Build production-ready agent workflows with a single prompt in Claude Code, Cursor, and GitHub Copilot.

Learn how to secure your Weaviate vector database with API keys, OIDC, and role-based access control (RBAC). Includes practical examples and setup steps.

Memory isn't just a feature for AI applications—it's infrastructure. As agents scale, the limited loop of stateless interactions breaks down, and continuity bec

2025 was a defining year for us at Weaviate. Instead of chasing shiny features, we focused on an overarching goal - upgrading our infrastructure and technology

Why vector databases are here to stay.

The Weaviate C# client is now generally available! This release brings a modern and intuitive API for .NET developers, making it easier than ever to build AI-po

This release introduces Object Time-to-Live (TTL), zstd compression support, flat index RQ quantization, multimodal support with Weaviate Embeddings, runtime co

Context engineering is how AI agents manage LLM memory—selecting, retrieving, and organizing context from short-term and long-term memory to improve reliability

Weaviate recognized by AWS Partners in Benelux as leaders in helping customers drive innovation

The Weaviate Java client v6 is now generally available! This release brings a completely redesigned API that embraces modern Java patterns, simplifies common op

Learn how to use the Dify and Weaviate integration to build RAG applications.

1.34 introduces flat index support with RQ quantization, server-side batching improvements, new client libraries, Contextual AI integration and much more.

Weaviate announces two CVEs that are fixed in updated versions of our product.

What building AI apps with Weaviate and cooking have in common? Let’s find out!

Hands-on patterns: Design pattern for gen-AI enterprise applications, with Arize AI.

Learn how Confluent’s Streaming Agents and Weaviate combine real-time context with semantic understanding for agentic AI.

Weaviate Cloud gets an updated pricing model.

A guide to seamlessly transform data sitting in lakes and warehouses for GenAI capable applications

A strategic guide to the costs, risks and rewards of upgrading embedding models in production AI

Learn how Weaviate's native multi-tenancy architecture delivers scalable vector search with one shard per tenant, dynamic resource management, and true data iso

1.33 brings compression by default for optimal resource utilization, powerful 1-bit rotational quantization (RQ), streamlined server-side batch imports, enhance