How to Tune Vector Search Without Guessing
Dylan Couzon
August 24, 2026

Search PDF pages with pplx-embed-v2 and Qdrant TurboQuant: 21x smaller vectors, retaining 96.5% of retrieval quality in our tests.
Dylan Couzon, Anush Shetty
October 13, 2026

We applied the Jev generalized classifier to reranking, query understanding, near-duplicate removal, and semantic chunking.
Andrei Cristea & Chadha Sridi
October 08, 2026

Google's EmbeddingGemma 2 in Qdrant: 99% of retrieval quality in 30x less vector RAM, or 94.5% in 77x less with rescoring.
Qdrant Team
October 06, 2026

Swap query models without re-embedding documents. Explore Constella Zero, Nano, and Stella, with BEIR-15 results and CPU benchmarks.
Dylan Couzon
September 29, 2026

Learnings from writing a cross-encoder inference library in Rust and comparing it with existing Python packages.
Clelia Bertelli
September 25, 2026

How Lucy built a retrieval layer over 2.8M+ SEC and DART filings on Qdrant: four-lane hybrid search, payload filtering, and TurboQuant, reaching 94.7% Recall@10 on FinanceBench.
Daniel Azoulai
September 21, 2026

How Himalayas moved remote job matching from keyword search to hybrid retrieval on Qdrant Cloud: 25M+ requests a month, around 30 ms median time in Qdrant, and a 19-point recall gain.
Daniel Azoulai
September 18, 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

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