Weaviate 1.37 Release
This release introduces the built-in MCP Server, Extensible Tokenizers, Diversity Search (MMR), and Query Profiling as previews, along with Incremental Backups, Gemini audio support for multi2vec-google,…
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Engram: Memory by Weaviate
A deep dive into Engram, our managed memory service for agents which is simple to get started but adaptable to any use case.
Weaviate Shared Cloud now generally available on AWS
Weaviate Shared Cloud is now generally available on AWS in US East and Europe, giving teams a fully managed, AI-native database on the provider and region…
Oh Memories, Where'd You Go
Two weeks of dogfooding Engram, Weaviate's memory product, in daily Claude Code sessions. This surfaced where a dedicated memory product adds value, and the specific mechanics…
Multimodal Embeddings and RAG: A Practical Guide
Multimodal embeddings allow AI systems to search and reason across text, images, audio, and video in their native formats. This blog covers the key intuitions behind…
Your Code is Your Schema: Weaviate Managed C# Client
Use semantic search and RAG in C# with the Weaviate Managed .NET client — attribute-driven schema, type-safe queries, and safe migrations, all in idiomatic .NET.
Securing Enterprise AI with Weaviate
A complete guide on how to secure Weaviate enterprise deployments with OIDC, RBAC, and multi-tenant isolation.
Weaviate 1.36 Release
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.
Building A Legal RAG App in 36 Hours
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.
Introducing Weaviate Agent Skills
Build production-ready agent workflows with a single prompt in Claude Code, Cursor, and GitHub Copilot.