Qdrant Skills for AI Agents
Thierry Damiba
March 31, 2026

Explore how Aracor transformed manual, error-prone legal document processing into an accurate, scalable, and rapid workflow, leveraging hybrid, filtered, and multitenant vector search technology.
Daniel Azoulai
May 13, 2025

Discover how Garden ingests 200 M+ patents and product documents, achieves sub-100 ms query latency, and launched a new infringement-analysis business line with Qdrant.
Daniel Azoulai
May 09, 2025

Read about recent improvements designed to simplify your journey from login, creating your first cluster, prototyping, and going to production.
Qdrant
May 06, 2025

Learn how Pariti retrieves candidate vectors in milliseconds, and identifies 94% of top performers, and fills roles twice as often with Qdrant.
Daniel Azoulai
May 01, 2025

Learn how Dust overhauled its vector stack—cutting RAM usage by 4×, moving queries from 5–10 s to <1 s, and enabling true multi-tenant scale—by migrating to Qdrant.
Daniel Azoulai
April 29, 2025

Explore how SayOne leveraged Qdrant’s superior performance, easy deployment, and robust features to meet demanding government requirements worldwide.
Daniel Azoulai
April 28, 2025

Build a scalable & smart search experience with quality embeddings and fast retrieval.
Filip Makraduli, David Myriel
April 24, 2025

Qdrant 1.14 introduces Score-Boosting Reranker for custom search ranking, and improved resource utilization.
David Myriel
April 22, 2025

Learn how Pathwork leveraged Qdrant's vector search capabilities to significantly reduce errors, cut latency by 78%, and drive substantial month-over-month user growth in life insurance underwriting.
Daniel Azoulai
April 22, 2025