Milvus Distributed

Milvus WebUI provides management for the scalable open-source vector DB ecosystem, enabling oversight of HNSW/IVF/NGT indexed collections in distributed/cluster/embedded Milvus modes. Supports monitoring of GPU-accelerated, billion-scale, real-time multi-modal operations. Facilitates RAG, recommendations, image/video search management; pairs with self-hosted Milvus vs Pinecone/Weaviate alternatives.

CoTra system by Zhi et al. for efficient distributed vector search using RDMA. Published in SIGMOD 2026 proceedings.

A research paper on accuracy-preserving index construction for distributed vector search systems. Published in 2025, it addresses the challenge of maintaining search quality while distributing vector indexes across multiple nodes.

Open-source distributed graph database designed for super large-scale graphs with billions of vertices and trillions of edges. Outperforms Neo4j on larger datasets while providing graph database capabilities for AI applications.

Apache Cassandra is a distributed NoSQL database that is adding native support for high-dimensional vector storage and approximate nearest neighbor search, making it a scalable choice for AI and vector search workloads.

A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.