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Articole: 6
  1. Deep dive into blobd, an object store designed for constant low latency reads using async Rust, io_uring and atomic writes

  2. End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.

  3. An explainer to how modern fast and accurate vector searching works, with interactive demos.

  4. An analysis of DiskANN, a newer graph-based ANN index built for cheaper disk while still retaining high recall and throughput.

  5. Introduction to CoreNN, an open source vector database that scales to 1 billion vectors on a single machine with high recall and throughput.

  6. Accessible end-to-end deep dive of crawling, embedding, projecting, and semantic searching all of Hacker News for my Hackerverse project.