Weaviate
weaviate.ioThe AI database developers love
Data & Analyticsvector-databaseairagsemantic-searchembeddingsagentsopen-source
About
Weaviate is an AI-native vector database designed for building search, retrieval-augmented generation (RAG), and agentic AI applications. It handles embeddings, ranking, and auto-scaling so developers can focus on building features rather than managing infrastructure. It supports billion-scale workloads and can be deployed on Weaviate Cloud or self-hosted with enterprise features like RBAC, SOC 2, and HIPAA compliance.
Problem
Developers need a unified, scalable database for AI workloads like semantic search and RAG without managing separate systems and complex data pipelines.
For
AI developers and engineering teams building search, RAG, or agentic AI applications
How it works
Weaviate provides a vector database that handles embeddings, hybrid search, and auto-scaling, allowing developers to query data semantically or via vectors through a simple client API.
Business model
freemium
Status
launched
Company
Weaviate