Weaviate 1.37 is here 🚀 and it makes your database a first-class citizen of the agentic-AI stack wi...

🤖 MCP Server — A built-in Model Context Protocol server at /v1/mcp. Plug your database directly into Claude Code, Cursor, VS Code, or any MCP-aware https://t.co/ndTa39Sc4k" / X

Post

Conversation

Weaviate 1.37 is here !Image 1: 🚀 and it makes your database a first-class citizen of the agentic-AI stack with four new preview features: !Image 2: 🤖 MCP Server — A built-in Model Context Protocol server at /v1/mcp. Plug your database directly into Claude Code, Cursor, VS Code, or any MCP-aware tool. !Image 3: 🌍 Extensible Tokenizers — Keyword search for the non-English world. Accent folding ("Café Crème" → "cafe creme"), custom stopword presets per property, and a /v1/tokenize endpoint that shows exactly what your analyzer is producing. !Image 4: 🎯 Diversity Search (MMR) — Stop retrieving five variations of the same result. A single parameter trades off relevance and diversity at query time. !Image 5: ⏱️ Query Profiling — Add a timing breakdown to any search request. Zero overhead when disabled. The first tool you should reach for when a query is slow. Also shipping: ▸ Incremental Backups — unchanged chunks stored as references, dramatically smaller and faster backups for large collections ▸ Gemini Audio — audio joins text, images, and video as a fourth modality in multi2vec-google, powered by the new gemini-embedding-2 model ▸ BlobHash — persist only a SHA-256 hash after vectorization, ideal when the media lives in S3 and shouldn’t be duplicated ▸ Collection Export (preview) — new /v1/export API writes collections to Parquet (S3/GCS/Azure/filesystem) !Image 6: 👉 Full blog post: weaviate.io/blog/weaviate-#Weaviate#VectorDatabase#RAG#MCP#AIAgents