Weaviate Blog

Server-side batching, retries, the blobHash data type, and multimodal ingestion — what to use when, with code.

Weaviate Cloud is now free to start across the entire product suite.

Engram, Weaviate's managed memory and context service for agentic applications, is now generally available.

Weaviate Cloud now supports more granular role-based access control with new Editor and Viewer roles for improved security and organizational management.

Use Weaviate's built-in MCP server to give Claude Code, Cursor, and VS Code hybrid search over your codebase and docs. No glue code.

Tokenization makes or breaks hybrid search. See how Weaviate's accent folding, custom stopwords, and /v1/tokenize endpoint power multilingual BM25.

A Researcher's Perspective on Retrieval Quality in RAG Systems

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, and the new BlobHash property type.

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 is now generally available on AWS in US East and Europe, giving teams a fully managed, AI-native database on the provider and region that works best for them.

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 that prevent integration with coding assistants from working well.

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 how this all works and walks through three practical implementations using Weaviate and Gemini.