DiskANN

Concept

DiskANN is a graph-based approximate nearest neighbor search algorithm from Microsoft Research that keeps a compressed navigation layer in RAM and the full-precision graph on SSD. It is used in services such as Azure Cosmos DB and SQL Server vector search.

Title graphic: DiskANN (Concept)

Type	Concept

Articles about DiskANN (4)

Menaklukkan Masalah Miliaran Vektor di Azure AI Search
2026-08-26 · Mirko Peters
Selamat datang di pembahasan mendalam kami tentang salah satu tantangan paling mendesak dalam kecerdasan buatan perusahaan modern: menskalakan pencarian vektor hingga miliaran reka
Mengatasi Masalah Miliaran Vektor di Azure AI Search
2026-08-26 · Mirko Peters
Pelajari tantangan teknis unik dalam mencari kumpulan data berskala besar. Artikel ini membahas bagaimana dimensi tinggi dan keterbatasan memori memengaruhi beban kerja AI di perus
Conquering the Billion-Vector Problem in Azure AI Search
2026-08-26 · Mirko Peters
Welcome to our deep dive into one of the most pressing challenges in modern enterprise artificial intelligence: scaling vector search to billions of records. If you…
Solving the Billion-Vector Problem in Azure AI Search
2026-08-26 · Mirko Peters
Explore the unique technical challenges of searching massive datasets at scale. This post breaks down how high dimensionality and memory constraints impact enterpri…

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Sources

Profile: www.microsoft.com/research/publication/diskann-fast-accurate-billion-point-nearest-neighbor-search-on-a-single-node
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Articles on this topic: 4

Maintained by Mirko Peters (Microsoft MVP) · Last updated: 2026-11-03