Aakash Sharan

Exploring Distributed Systems, Machine Learning and Operations, and Engineering Management

Tag: distributed systems

The Hidden Architecture Behind Dense Vector Search (and Why It’s Hard to Scale)

Most people think dense vector search works like this: embed your documents store the vectors run cosine similarity Done. This is the biggest misunderstanding in modern AI systems. Dense vector search looks simple, but in real deployments it becomes one of the hardest layers to scale—and often the true bottleneck behind: slow RAG pipelines inconsistent […]

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 […]

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