Distributed Vector Search: How Real Vector Databases Scale Beyond One Machine
Why dense search becomes a routing, sharding, and distributed-systems problem Vector search looks simple when everything fits on one machine. It becomes a different discipline entirely when you need to serve: millions to billions of vectors, across multiple nodes, with predictable latency, and high recall, while RAG or agent pipelines depend on you staying under…