weaviate
Vector DatabasesAn open‑source cloud‑native vector database that stores objects and their embeddings to enable fast semantic search, retrieval‑augmented generation, and related AI workloads.
Features
- Hybrid semantic search combining vector similarity with keyword filtering
- Retrieval‑augmented generation (RAG) support via integrated model providers
- Built‑in multi‑tenancy, replication, RBAC authorization and other production features
- Multiple deployment options: Docker, Kubernetes, cloud managed service
Recent releases
View all 70 releases →
No immediate action
v1.37.7
Breaking risk
Compaction abort + async-delete fix + test improvements
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Install & Platforms
Install via
docker
pip
binary
