Qdrant Blog

Name: Qdrant
Brand: Qdrant Vector Database

HubSpot & Qdrant: Scaling an Intelligent AI Assistant

Andre Zayarni

March 24, 2025

Qdrant 1.13 - GPU Indexing, Strict Mode & New Storage Engine

David Myriel

January 23, 2025

Optimizing ColPali for Retrieval at Scale, 13x Faster Results

Evgeniya Sukhodolskaya, Sabrina Aquino

November 27, 2024

Advanced Retrieval with ColPali & Qdrant Vector Database

Sabrina Aquino

November 05, 2024

Vibe Coding RAG with our MCP server

Check out how the MCP server can give you more control over the quality of vibe coding with AI agents like Cursor, and Claude Code!

Kacper Łukawski

March 21, 2025

How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant

Learn about Deutsche Telekom's requirements for scaling enterprise AI agents, key AI stack considerations, and how the team built a Platform as a Service (PaaS) - LMOS (Language Models Operating System) — a multi-agent PaaS designed for high scalability and modular AI agent deployment.

Manuel Meyer

March 07, 2025

Introducing Qdrant Cloud’s New Enterprise-Ready Vector Search

Discover Qdrant Cloud's enterprise features: RBAC, SSO, granular API keys, advanced monitoring/observability.

Daniel Azoulai

March 04, 2025

Metadata automation and optimization - Reece Griffiths | Vector Space Talks

Metadata plays a critical role in vector search accuracy, yet it’s often overlooked. In this episode of Vector Space Talks, Reece Griffiths, CEO of Deasy Labs, explains why metadata automation is essential for scalable AI systems. He walks us through how Deasy Labs orchestrates metadata extraction, classification, and enrichment to boost retrieval efficiency.

Sabrina Aquino

February 24, 2025