Weaviate: Open-Source AI Database for AI-Native Apps

What

Weaviate Is Weaviate is an open-source AI database built for AI-native applications, serving AI engineers, enterprises, and data teams. It provides semantic and hybrid search, returning the most relevant context at query time, which is then passed to large language models to generate grounded, accurate responses.

Key Capabilities

• Semantic and hybrid search: Performs semantic and hybrid retrieval at query time to supply relevant context for generated answers.
• AI agent support: Agents can ask questions in natural language, and the system automatically decides which collections to search, which filters and sorts to apply, and which search types to use — all in a single call.
• Multilingual and multimodal: Supports English and multilingual content, plus images and document pages.
• Flexible deployment: Deploy on Weaviate Cloud, Kubernetes, or managed cloud services, with cloud and on-prem options and self-hosting support.
• Developer tooling: A TypeScript client supports building with Vue.js, React.js, and Angular.js.
• Model and cloud integrations: AWS supports model provider integrations through SageMaker and Bedrock.

Support

and Ecosystem Community support is available alongside enterprise support options, including a 24×7 support SLA (P1 one hour, P2 four hours, P3 one business day), a dedicated Technical Account Team, real-time collaboration via a private Slack channel, and root cause analysis with deep-dive reporting. The project is open-source, offers a public API, and maintains community channels on GitHub, X, YouTube, and LinkedIn.