About Weaviate
An open-source, AI-native vector database that provides vector and hybrid search, model/vectorizer modules, and GraphQL/REST APIs for semantic search and RAG workflows.
Key Features
- Built-in vector and hybrid (vector + keyword) search with advanced filtering and re-ranking.
- Pluggable vectorizers and model integrations (bring-your-own or built-in modules) for multi-modal data.
- Runs self-hosted or as a managed cloud service with multi-tenancy, backups, and horizontal sharding.
Use Cases & Best For
Developers building semantic search/RAG or multimodal retrieval systems who want an open-source, extensible platform.
Teams that need hybrid search (vectors + lexical) and native model integrations or GraphQL APIs.
About Vector Databases
Storage and retrieval for embeddings