Weaviate

Weaviate is an open-source, AI-native vector database that stores data objects and their vector embeddings together, enabling semantic search, hybrid search, and retrieval-augmented generation. It can generate embeddings automatically through vectorizer modules and offers generative modules that call LLMs directly on retrieved results, so teams can build search and RAG features with less glue code.

Weaviate is popular with developers who want an integrated experience: schema-based data modeling, hybrid keyword-plus-vector search, and built-in connectors to embedding and LLM providers. Weaviate Cloud provides a managed, scalable deployment, while the open-source engine can be self-hosted. Its GraphQL and REST APIs and strong ecosystem make it a common backbone for generative AI products.