Qdrant 1.19 - TurboQuant Datatype & Memory Tiers
Andrey Vasnetsov
August 05, 2026

Discover how Sapu, a nanomedicine biotech company, indexed 28 million PubMed abstracts into a single Qdrant collection, enabling researchers to query the entire biomedical literature corpus and accelerating hard-to-treat cancer therapy development.
Daniel Azoulai
May 12, 2026

Version 1.18 of Qdrant introduces TurboQuant, a novel quantization method that, at twice the compression ratio of scalar quantization, delivers similar recall and speed.
Abdon Pijpelink
May 11, 2026

Meet Sentinel, the AI-powered misinformation detection system that won the Qdrant Challenge at Gen AI Zürich Hackathon. Discover how this solo developer built a real-time fact-checking system using Qdrant Cloud for semantic search.
Manas Chopra
April 29, 2026

Learn how GPU-accelerated indexing, Multi-AZ replication, and audit logging support enterprise AI workloads in Qdrant Cloud.
Daniel Azoulai
April 28, 2026

Discover how Data Graphs built a true Hybrid Graph RAG platform using Qdrant's Hybrid Cloud deployment, payload filtering, and Terraform automation to deliver cited, domain-aware AI responses.
Daniel Azoulai
April 22, 2026

From building scalable RAG pipelines to enabling real-time AI memory and next-gen context engineering, we’re covering the full spectrum of modern vector-native search.
Qdrant
April 21, 2026

Agent skills for Qdrant: solutions architect knowledge encoded for AI agents. Diagnose, tune, and scale vector search without guessing.
Thierry Damiba
March 31, 2026

Go beyond single-vector embeddings. Our new advanced course covers ColBERT, ColPali, MaxSim, and production-grade multi-vector pipelines in Qdrant.
Neil Kanungo
March 24, 2026

We analyzed 110+ community threads from Hacker News and Reddit to test the 'just use pgvector' heuristic. pgvector is a reasonable default, but only when six specific conditions hold simultaneously. Most applications hit its limits sooner than expected.
Nathan LeRoy
March 17, 2026