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Weaviate

vector-db
Adopt

Update 07/2026: Notable developments over the past year:

  • v1.37 (April 2026) ships a built-in MCP server - agents can query Weaviate directly as an MCP tool without custom glue code - plus diversity search (MMR) and query profiling.
  • v1.36 (March 2026): server-side batching GA and a new vector index (HFresh, preview).
  • "Agent Skills" (February 2026) target coding agents working with Weaviate.

The direction is clear: Weaviate positions itself as retrieval backend for agentic systems, not only as a vector store. Ring stays adopt.

Adopt

Weaviate is an open-source, cloud‑native vector database designed for AI applications, combining object storage and embedding vectors with real-time vector and hybrid search capabilities.

A Weaviate vector database can search text, images, or a combination of both. Fast vector search provides a foundation for chatbots, recommendation systems, summarizers, and classification systems.

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