
Built for Vector Search
Why add-on vector search looks good — until you actually use it.
Evgeniya Sukhodolskaya & Andrey Vasnetsov
February 17, 2025
Take a look under the hood of Qdrant’s high-performance vector search engine. Explore the architecture, components, and design principles the Qdrant Vector Search Engine is built on.
Why add-on vector search looks good — until you actually use it.
Evgeniya Sukhodolskaya & Andrey Vasnetsov
February 17, 2025
Why and how we built our own key-value store. A short technical report on our procedure and results.
Luis Cossio, Arnaud Gourlay & David Myriel
February 05, 2025
Learn how immutable data structures improve vector search performance in Qdrant.
Andrey Vasnetsov
August 20, 2024
Why vector search requires a dedicated service.
Andrey Vasnetsov
November 30, 2023
A Summary of my work and experience at Qdrant's Gsoc '23.
Zein Wen
October 12, 2023
Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance
Nirant Kasliwal
September 18, 2023
Slow disk decelerating your Qdrant deployment? Get on top of IO overhead with this one trick!
Andre Bogus
June 21, 2023
Discover product quantization in vector search technology. Learn how it optimizes storage and accelerates search processes for high-dimensional data.
Kacper Łukawski
May 30, 2023
Discover the efficiency of scalar quantization for optimized data storage and enhanced performance. Learn about its data compression benefits and efficiency improvements.
Kacper Łukawski
March 27, 2023
How to properly measure RAM usage and optimize Qdrant for memory consumption.
Andrei Vasnetsov
December 07, 2022
How to make ANN search with custom filtering? Search in selected subsets without loosing the results.
Andrei Vasnetsov
November 24, 2019