Weaviate is an open-source, AI-native vector database and agentic platform built for semantic search, retrieval-augmented generation (RAG), and next-generation AI applications. It enables developers to store, index, and query both structured data and high-dimensional vector embeddings, with built-in model integration and hybrid search (vector + keyword) all in one system.