weaviate/weaviate
An open-source, cloud-native vector database enabling semantic search at scale by combining vector similarity with structured filtering and integrated AI models.
Core Features
Quick Start
docker compose up -dDetailed Introduction
Weaviate is a powerful open-source, cloud-native vector database designed for semantic search at scale. It uniquely stores both objects and their corresponding vector embeddings, allowing users to perform complex queries that combine vector similarity search with traditional structured filtering. With built-in support for automatic vectorization via popular AI models and capabilities for RAG and reranking, Weaviate serves as a foundational component for AI-driven applications like chatbots, recommendation engines, and intelligent search systems, offering robust scalability and enterprise-grade features.