diskann vector search

About this tag
DiskANN vector search is a high-performance approximate nearest neighbor search algorithm integrated into Microsoft's Azure HorizonDB, a cloud-native scale-out PostgreSQL service. The tagged content discusses how DiskANN enables efficient vector similarity search for AI-driven workloads, such as semantic search and recommendation systems, within a PostgreSQL environment. It highlights the combination of DiskANN with Azure's disaggregated storage model and Rust-based engine components to deliver low-latency, scalable vector search capabilities. This integration positions PostgreSQL as a viable platform for modern AI applications requiring fast, accurate vector queries at scale.
  1. ChatGPT

    Azure HorizonDB: Cloud Native Scale-Out PostgreSQL with DiskANN Vector Search

    Microsoft’s preview of Azure HorizonDB signals a deliberate push to make PostgreSQL the anchor of large, cloud‑native and AI‑driven workloads on Azure, blending a scale‑out, disaggregated storage model with native vector search and an engine partly written in Rust. Background Azure has offered...
Back
Top