Universal I/O in Qdrant
How Qdrant talks to different storage backends through a unified I/O interface
Luis Cossío, Clelia Bertelli
October 12, 2026
Indexing & Storage
Explore filterable HNSW, quantization, memory use, and Qdrant storage mechanisms.
Filtered Vector Search: What ACORN Fixes, and What Fixes ACORN
ACORN repairs filtered HNSW search at query time, extra edges at index time. We benchmarked both in Qdrant on one million points.
Dylan Couzon & Meina Ghafouri
August 7, 2026
TurboQuant in Qdrant
TurboQuant ships in Qdrant 1.18
Ivan Pleshkov & Jonas Schulz
May 13, 2026
Introducing Gridstore: Qdrant's Custom Key-Value Store
Why and how we built our own key-value store.
Luis Cossio, Arnaud Gourlay & David Myriel
February 5, 2025
What is Vector Quantization?
What is Vector Quantization? Methods & Examples
Sabrina Aquino
September 25, 2024
Immutable Data Structures in Qdrant
Learn how immutable data structures improve vector search performance in Qdrant.
Andrey Vasnetsov
August 20, 2024
Faster Disk I/O for Vector Search Using io_uring
The Linux io_uring API offers great performance in certain cases. Here's how Qdrant uses it!
Andre Bogus
June 21, 2023
Product Quantization for Vector Search
Vector search with low memory? Try out our brand-new Product Quantization!
Kacper Łukawski
May 30, 2023
Scalar Quantization for Vector Search
Discover scalar quantization for optimized data storage and improved performance, including data compression benefits and efficiency enhancements.
Kacper Łukawski
March 27, 2023
Minimal RAM to Serve 1M Vectors
How to properly measure RAM usage and optimize Qdrant for memory consumption.
Andrei Vasnetsov
December 7, 2022
Filterable HNSW Without Recall Loss
How to make ANN search with custom filtering?
Andrei Vasnetsov
November 24, 2019