Weaviate
Open-source vector database for developers building RAG, semantic search, and AI agent memory at scale.
What it does
Weaviate is an open-source AI-native database that stores and indexes vector embeddings for search, retrieval-augmented generation, and agent workflows. It offers built-in embedding generation, a natural-language query agent, and flexible cloud or self-hosted deployment.
Core features
Vector storage and similarity search at scale
Built-in embedding generation from text and images
Natural-language Query Agent for automated queries
Hybrid keyword plus vector search
Multi-tenancy and role-based access control
Deployment-agnostic across cloud, self-hosted, or hybrid
Best for
→Building RAG pipelines for enterprise chatbots
→Powering semantic search over large document sets
→Supporting AI agent memory and retrieval
→Running segmented multi-tenant SaaS search products
Pricing
Free
Flex
$45/mo
Premium
$400/mo
Toolspool rankingby global site rank
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.
Tutorials
Step-by-step: exactly how to get things done with it.