Weaviate

Weaviate is an open-source, AI-native vector database designed to power modern artificial intelligence applications, including AI-powered search, Retrieval Augmented Generation (RAG), and agentic workflows. The platform allows developers to store, index, and search data objects based on their semantic meaning rather than just keywords, enabling highly contextual and intelligent data retrieval. It offers a feature-rich environment that handles vectorization, ranking, and auto-scaling, allowing users to focus on application development rather than infrastructure management. Weaviate supports multiple programming languages through its SDKs and integrates with various machine learning models. The database is built for billion-scale architecture, ensuring seamless scalability and enterprise-ready deployment options, including self-hosted and cloud-managed services. It is widely adopted by a large community of AI builders for its speed and ability to handle complex data pipelines efficiently.