Weaviate

Vector Search &amp; RAG: Supports pure vector, semantic, and hybrid search capabilities
Multi-Language Support: SDKs for Python, Go, TypeScript, JavaScript, plus GraphQL and REST APIs
AI Integration: Built-in embedding services and seamless ML model integration
Database Agents: Pre-built agents for automated data interaction and enhancement
Enterprise-Ready: Supports RBAC, SOC 2, HIPAA compliance
Scalable Architecture: Handles billion-scale workloads with cost optimization

A vector search capability integrated into MongoDB Atlas that enables storing and searching vectors alongside operational data.

An open-source PostgreSQL extension that enables vector similarity search with support for multiple distance metrics and vector types.

Open-source vector database designed for AI applications, enabling efficient storage and retrieval of embeddings for machine learning models.

Introduction