Milvus

Milvus is a powerful open-source vector database designed to store, index, and search large-scale high-dimensional vector data efficiently. It is built specifically for artificial intelligence and machine learning workloads, enabling fast similarity search for use cases such as semantic search, recommendation systems, image and video retrieval, and retrieval-augmented generation (RAG). Milvus is cloud-native, highly scalable, and optimized for modern AI-driven applications.

Features of Milvus:

• Purpose-built vector database for similarity search on high-dimensional embeddings.
• Supports multiple index types such as IVF, HNSW, FLAT, and DiskANN for different performance needs.
• High performance and low-latency search optimized for large-scale AI workloads.
• Horizontal scalability with distributed architecture and cloud-native design.
• Hybrid search support combining vector similarity with scalar filtering.
• Strong consistency and reliability for production-grade deployments.
• Integrates easily with AI/ML frameworks and pipelines.
• Supports multiple programming languages including Python, Java, Go, and JavaScript.
• Container-friendly deployment with Docker and Kubernetes support.
• Free and open-source with optional enterprise and managed cloud offerings.

Common Milvus Commands:

$ sudo su

$ docker ps                      # Check running containers

$ docker compose restart  # Start Milvus using Docker Compose

 To Access Milvus Interface:http://your-ip:9091