Weaviate

Weaviate 1.37 Adds Maximum Marginal Relevance for Diverse Vector Search Results

Weaviate released version 1.37 on April 23, 2026, adding Maximum Marginal Relevance as a preview feature for query-time reranking. The company introduced a Diversity.MMR parameter with limit and balance settings that penalizes near-duplicate results in near_vector and other queries. MMR applies across all near_* queries without requiring schema changes or reindexing. Weaviate 1.37 also shipped extensible tokenizers with accent folding and per-property stopwords. The release included incremental backups and Gemini audio support in the multi2vec-google module.

Weaviate Ships v1.37.1 with Built-in MCP Server for AI Agents

Weaviate released v1.37.1 on or around May 21, 2026, introducing a built-in Model Context Protocol server at /v1/mcp. Ivan Despot, Developer Experience Engineer at Weaviate, detailed how the server enables Claude Code, Cursor, and VS Code to perform hybrid BM25-plus-vector searches directly on codebases and docs without external processes. The release adds four tools including weaviate-query-hybrid and weaviate-objects-upsert, with support for multi-tenancy and RBAC permissions. Weaviate v1.37.1 ships the MCP server inside the database on the same port as the REST API. The company previously shipped v1.37 on April 23, 2026, with preview features including MCP Server.

Weaviate Shared Cloud Generally Available on AWS US East and Europe

CyborgDB v0.17.0 Achieves 220 QPS at 99% Recall on wiki-all-1M Beating Weaviate v1.37.0

Vector Database Comparison 2026 Highlights Weaviate Hybrid Search and Customization Strengths

Weaviate Podcast Episode 138 Features Booking.com Platform Engineer Başak Eskili on Production-Scale Vector Search

Weaviate Valued at $200 Million After February 2026 Series B Round

Weaviate reached a $200 million valuation as of February 24, 2026. The company raised $50 million in its latest Early Stage VC Series B round on February 24, 2026, bringing total funding to $67.6 million across two rounds. Weaviate is a developer of an open-source and native-artificial intelligence database platform founded in 2019 with 99 employees. Weaviate has raised $67.6M in funding across 2 funding rounds with the latest $50M Series B on February 24, 2026.

Weaviate v1.37 Optimizes BM25 Hybrid Search via Accent Folding and Tokenize Endpoint

Bob van Luijt Leads Weaviate as Co-Founder and CEO with $68 Million Total Funding

Bob van Luijt serves as co-founder and CEO of Weaviate headquartered in Amsterdam Netherlands. The company raised approximately $68 million in total funding to date. Weaviate provides cloud-native vector database with built-in vectorization modules and multi-modal capabilities. Article published May 14 2026 lists van Luijt among 20 enterprise AI infrastructure CEOs alongside competitors Pinecone and Qdrant.

Weaviate Cloud Pricing Starts at $25 per Month with Scaling by Vector Count

Weaviate Releases Code Updates for Raft Timeout Checks and Leadership Elections

Weaviate GitHub Repository Updated with New Agents TypeScript Client

Weaviate Releases Suggest Queries Mode for Query Agent

Weaviate Podcast Episode 129 Features Bob van Luijt on SAS Integration

Weaviate v1.37 Ships Built-in MCP Server for AI Agents

Weaviate secures $50M in funding for scaling hybrid search tech. Investors include Andreessen Horowitz. #Weaviate #Fundi

Weaviate secures $50M in funding for scaling hybrid search tech. Investors include Andreessen Horowitz. #Weaviate #FundingRound

Weaviate announces partnership with Hugging Face to streamline vector embeddings deployment. This collab aims to make AI

Weaviate announces partnership with Hugging Face to streamline vector embeddings deployment. This collab aims to make AI models more accessible for devs.