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

Fix multilingual embedding language bias with SHIFT: shift document and query vectors to one pivot language and store them in a single Qdrant index.
Evgeniya Sukhodolskaya
September 16, 2026

Qdrant and Vultr release Qdrant-FineWeb-10B, the largest open-source vector search benchmark, plus Supernova, an open-source framework for embedding generation, ground truth, and evaluation at billion-vector scale.
Qdrant Labs
September 01, 2026

Tune retrieval in Qdrant: the measurement behind fusion k, candidate depth, rerankers, rescoring, and labeled set size.
Dylan Couzon
August 24, 2026

How Bayer built myGenAssist on Qdrant Hybrid Cloud: 135M points, hybrid search for deep agents, semantic caching, multitenancy, and a 20% efficiency gain.
Daniel Azoulai
August 13, 2026

Hybrid search, payload filters, and late-interaction reranking in Qdrant plus Minima-optimized inference delivered 2.92x more successful agentic RAG tasks per GPU-hour without reducing grounded quality.
Qdrant and Minima Engineering
August 13, 2026

Clean up a vector database collection: control duplicate points, track embedding provenance, remove stale records, and protect top-k search quality.
Dylan Couzon
August 10, 2026

Compare pre-filtering vs post-filtering in vector search: where each breaks, how Qdrant filters in place, and when ACORN earns its cost.
Dylan Couzon
August 07, 2026

Version 1.19 of Qdrant introduces the TurboQuant datatype for major storage savings, unified memory tier configuration, replica read affinity, and full-text search enhancements.
Andrey Vasnetsov
August 05, 2026

Build e-commerce search on Qdrant: lessons on hybrid ranking, in-query filtering, embedding recipes, personalization as re-rank, and merchandising formulas.
Dylan Couzon
July 24, 2026