Introducing Qdrant Cloud Inference
Daniel Azoulai
July 15, 2025
Qdrant 1.15 - Smarter Quantization & better Text Filtering
Derrick Mwiti
July 18, 2025
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Qdrant Blog
Pathwork Optimizes Life Insurance Underwriting with Precision Vector Search
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
How Lyzr Supercharged AI Agent Performance with Qdrant
Discover how Lyzr improved latency, throughput, and infrastructure efficiency for its AI agents with Qdrant.
Daniel Azoulai
April 15, 2025
How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores
Discover how Mixpeek efficiently powers scalable, multimodal retrieval with Qdrant
Daniel Azoulai
April 08, 2025
Satellite Vector Broadcasting: Near-Zero Latency Retrieval from Space
The future of vector search, featuring a constellation of CubeSats for ultra-low-latency vector retrieval. Complete with benchmark results and field reports from our beta testers.
Qdrant Team
April 01, 2025
HubSpot & Qdrant: Scaling an Intelligent AI Assistant
Explore how HubSpot uses Qdrant to scale Breeze AI, enhancing customer engagement with faster, accurate vector search capabilities.
Andre Zayarni
March 24, 2025
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
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