Weaviate is an open-source vector database platform enabling developers to build AI applications that combine vector search, retrieval-augmented generation (RAG), and memory capabilities in a single system rather than stitching together separate tools.
The Query Agent provides a natural language interface translating user intent directly into optimized database queries, built-in embeddings generate vectors from text, images, and other data types without needing an external pipeline, and Engram creates personalized AI experiences that learn and adapt to individual users. Multi-tenancy supports tens of thousands of segmented indexes in a single cluster, with enterprise features including security, RBAC, SOC 2 compliance, and HIPAA certification for high-availability deployments.
Weaviate targets AI startups and scale-ups building production applications, enterprise teams implementing AI workflows at scale, and developers wanting faster AI feature deployment without managing infrastructure from scratch, with SDKs for Python, Go, TypeScript, and JavaScript plus GraphQL and REST APIs. Free tier available on cloud deployment, usage-based cloud pricing, enterprise options, and a self-hosted option for full control.







