Overview
Weaviate — Open-source vector database for AI-native applications
Weaviate is a cloud-native open-source vector database built for AI applications. It stores both vectors and objects, supports hybrid search (vector + keyword), and has built-in ML model integration. Used for semantic search, recommendation systems, and retrieval-augmented generation (RAG) applications.
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Vector + object storage
Hybrid search
Built-in ML modules
GraphQL API
Features & capabilities
Everything it does, in plain English.
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Open-source
- ✓Built-in ML model support
- ✓Good hybrid search
! Watch-outs
- !Complex to configure well
- !Requires understanding of vectors
Who it's for
Where Weaviate pays for itself fast.
Semantic search
RAG applications
Recommendation systems
Image search
Community reviews
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