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Weaviate
Since 2019Open-source vector search with built-in ML
Open-source vector search with built-in ML — hybrid search combining vectors and keywords.
Overview
Weaviate's hybrid search combines vector similarity with BM25 keywords in one query. Docker deployment, built-in vectorization modules (text2vec, img2vec), GraphQL API, multi-tenancy for production AI.
Use Cases
- Hybrid search
- multi-tenant AI
- self-hosted vectors
- semantic search with built-in vectorization
Advantages
- Open-source
- hybrid search
- built-in vectorization
- GraphQL API
- multi-tenancy
- Docker deploy
Considerations
- Higher resources than ChromaDB
- more complex setup
- newer product