Manu — A Cloud Native Vector Database Management System

Milvus is a high-performance, open-source vector database designed for managing massive-scale embedding vectors in AI applications. It excels in similarity search using advanced indexing like HNSW and IVF, supports distributed deployment for billions of vectors, GPU acceleration, and hybrid search combining vector and scalar filters. Key use cases include RAG pipelines, recommendation engines, and image/video retrieval; it outperforms single-node DBs like Faiss in scalability but requires more setup compared to managed options like Pinecone.

SIGKDD 2022 paper introducing BLISS, a billion-scale indexing method using iterative re-partitioning for large-scale approximate nearest neighbor search.

Apache's distributed graph database from Baidu with vector search capabilities via HNSW and DiskANN indexes, supporting billion-scale graph + vector workloads for fraud detection and knowledge graphs.

Enterprise-level distributed vector database from Baidu Intelligent Cloud, built on the proprietary Mochow kernel, supporting up to 10 billion vectors with millions of QPS and millisecond latency.

Fully managed, enterprise-level distributed vector database from Tencent Cloud, supporting billion-scale vector search with millisecond latency and millions of QPS using the self-developed Olama engine.

An efficient vector search system designed for disaggregated memory architectures. d-HNSW optimizes HNSW for environments where compute and memory are separated, typical in modern cloud and distributed systems.