Keywords AI
Weaviate
Vector DatabasesLayer 2Open SourceWhat is Weaviate?
Weaviate is an open-source vector database that combines vector search with structured filtering and generative capabilities. It supports multiple vectorization modules, hybrid search (combining BM25 and vector search), and built-in integrations with LLMs for retrieval-augmented generation. Weaviate offers both self-hosted and managed cloud deployments, with a GraphQL API that makes it easy to query complex data structures.
Key Features
- ✓Open-source vector database
- ✓Hybrid search (vector + keyword)
- ✓Multi-modal support
- ✓GraphQL and REST APIs
- ✓Kubernetes-native deployment
Common Use Cases
Developers who need a flexible, open-source vector database with multimodal and hybrid search
- •Multimodal search across text, images, and more
- •RAG with hybrid retrieval
- •E-commerce product search
- •Content recommendation engines
- •Self-hosted vector search
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