Perplexity's New Late-Interaction Models Meet Qdrant's 21x Vector Compression
Dylan Couzon, Anush Shetty
October 13, 2026
Reachy Remembers: Giving a Robot a Local Semantic Memory with Qdrant Edge
Sasha Denisov & Chadha Sridi
October 14, 2026
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Qdrant Blog
Constella Preview: Swap Query Models Without Re-Embedding
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
Oxidizing Cross-Encoders
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 Source-of-Truth Retrieval Layer for 2.8M+ SEC and DART Filings with Qdrant
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 Built Semantic Job Matching for 100,000+ Remote Listings with Qdrant
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
SHIFTing Languages in Multilingual RAG
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
Enough with the Bad Benchmarks: Tools for Production-Grade Research
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
How to Tune Vector Search Without Guessing
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 an Enterprise-Scale Search Engine with Qdrant
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
Qdrant and Minima Deliver 2.92x More Agentic RAG Tasks per GPU-Hour
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
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