Milvus

Flexible Deployment: From lightweight Milvus Lite for prototyping to distributed deployment for production
Scalability: Handles billions of vectors with minimal performance loss
Easy Integration: Compatible with popular AI development tools
Multiple Search Types: Supports RAG, image search, multimodal search, and hybrid search capabilities

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