Weaviate

• Weaviate is an open‑source, cloud‑native vector database that stores both structured objects and vector embeddings, enabling high‑performance semantic search and hybrid (vector + keyword) queries.• It supports integrations with multiple ML models for embedding generation and can run in multiple deployment modes (cloud, local, Kubernetes).• Developers use Weaviate for semantic search, RAG systems, recommendation engines, chatbots, and more.• It includes advanced filtering, multi‑tenancy, replication, and compression techniques for large‑scale use cases.