UltraBERT Fits 32K Tokens in One Vector. RIP Chunking?
Dylan Couzon, Anush
October 19, 2026

Andrey Vasnetsov
October 22, 2026
Dylan Couzon, Anush
October 19, 2026
Sasha Denisov & Chadha Sridi
October 14, 2026
Dylan Couzon, Anush
October 13, 2026

Learn how Dust overhauled its vector stack—cutting RAM usage by 4×, moving queries from 5–10 s to <1 s, and enabling true multi-tenant scale—by migrating to Qdrant.
Daniel Azoulai
April 29, 2025

Explore how SayOne leveraged Qdrant’s superior performance, easy deployment, and robust features to meet demanding government requirements worldwide.
Daniel Azoulai
April 28, 2025

Build a scalable & smart search experience with quality embeddings and fast retrieval.
Filip Makraduli, David Myriel
April 24, 2025

Qdrant 1.14 introduces Score-Boosting Reranker for custom search ranking, and improved resource utilization.
David Myriel
April 22, 2025

Learn how Pathwork leveraged Qdrant's vector search capabilities to significantly reduce errors, cut latency by 78%, and drive substantial month-over-month user growth in life insurance underwriting.
Daniel Azoulai
April 22, 2025

Discover how Lyzr improved latency, throughput, and infrastructure efficiency for its AI agents with Qdrant.
Daniel Azoulai
April 15, 2025

Discover how Mixpeek efficiently powers scalable, multimodal retrieval with Qdrant
Daniel Azoulai
April 08, 2025

The future of vector search, featuring a constellation of CubeSats for ultra-low-latency vector retrieval. Complete with benchmark results and field reports from our beta testers.
Qdrant Team
April 01, 2025

Explore how HubSpot uses Qdrant to scale Breeze AI, enhancing customer engagement with faster, accurate vector search capabilities.
Andre Zayarni
March 24, 2025