Weaviate
Open-source vector database and cloud service for building semantic search, RAG, and AI applications.
Features
- Open-source vector database with hybrid search
- Cloud service with managed infrastructure and backups
- Support for multi-tenant and high-scale deployments
- SDKs and clients for popular languages and frameworks
- Integrations with major LLM and embedding providers
Weaviate is a vector database optimized for semantic search, retrieval-augmented generation, and other AI application workloads. Teams can self-host the open-source core or use the managed cloud service, then connect it to their LLM stack to store and query embeddings across text, images, and other modalities. It provides high-level APIs, hybrid search, and production features like multi-tenancy and backups so developers can focus on application logic instead of infrastructure.
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