How &AI scaled global legal retrieval with Qdrant
Daniel Azoulai
July 15, 2025
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
July 14, 2025
Discover how Pento used Qdrant’s recommendation API and multivector support to model aesthetic preferences and power a taste-based discovery engine.
Daniel Azoulai
July 14, 2025
A Qdrant Star shares her hard-won lessons from her extensive open-source building
Clelia Astra Bertelli & Evgeniya Sukhodolskaya
July 09, 2025
Discover how Frankfurter Allgemeine Zeitung (FAZ) used Qdrant to build a metadata-rich semantic search engine that transforms archival journalism into an AI-powered research tool—with sub-second latency and over 60 fields of structured filtering.
Manuel Meyer
July 03, 2025
Discover how Lettria combined Qdrant and Neo4j to overcome the accuracy limitations of traditional vector-only RAG systems, significantly boosting precision, explainability, and performance in regulated industries like pharma, legal, and aerospace.
Daniel Azoulai
June 17, 2025
Migrate data across clusters, regions, from open source to cloud, and more with just one command.
Qdrant
June 16, 2025
Discover how Lawme accelerated legal automation and improved compliance by moving to Qdrant's hybrid vector search solution.
Daniel Azoulai
June 11, 2025
This guide explores critical architectural decisions for LegalTech builders using Qdrant, covering accuracy, hybrid search, reranking, score boosting, quantization, and enterprise scaling needs.
Daniel Azoulai
June 10, 2025
Qdrant achieves SOC 2 Type II and HIPAA certifications.
Daniel Azoulai
June 10, 2025