TurboQuant in Qdrant
TurboQuant — a new rotation-based vector quantization algorithm from Google Research — now ships in Qdrant 1.18, with extensions that make it work on real embeddings.
Ivan Pleshkov & Jonas Schulz
May 13, 2026
Production Ops
Operate Qdrant at scale. Learn how to optimize memory and resources, apply quantization, manage multitenancy and sharding, and secure access in production.
Vector Search in Production
We gathered our most recommended tips and tricks to make your production deployment run smoothly.
David Myriel
April 30, 2025
Optimizing Memory for Bulk Uploads
Efficient memory management is key when handling large-scale vector data. Learn how to optimize memory consumption during bulk uploads in Qdrant and keep your deployments performant under heavy load.
Sabrina Aquino
February 13, 2025
Vector Search Resource Optimization Guide
Learn how to get the most from Qdrant's optimization features. Discover key tricks and best practices to boost vector search performance and reduce Qdrant's resource usage.
David Myriel
February 09, 2025
Data Privacy with Qdrant: Implementing Role-Based Access Control (RBAC)
Discover how Qdrant's Role-Based Access Control (RBAC) ensures data privacy and compliance for your AI applications. Build secure and scalable systems with ease. Read more now!
Qdrant Team
June 18, 2024
How to Implement Multitenancy and Custom Sharding in Qdrant
Discover how multitenancy and custom sharding in Qdrant can streamline your machine-learning operations. Learn how to scale efficiently and manage data securely.
David Myriel
February 06, 2024
Binary Quantization - Vector Search, 40x Faster
Binary Quantization is a newly introduced mechanism of reducing the memory footprint and increasing performance
Nirant Kasliwal
September 18, 2023
Product Quantization in Vector Search | Qdrant
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
Scalar Quantization: Background, Practices & More | Qdrant
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
Minimal RAM you need to serve a million vectors
How to properly measure RAM usage and optimize Qdrant for memory consumption.
Andrei Vasnetsov
December 07, 2022
