How TrustGraph built enterprise-grade agentic AI with Qdrant
Daniel Azoulai
October 10, 2025
Qdrant Academy Launches with Qdrant Essentials Course
Neil Kanungo
October 23, 2025
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Qdrant Blog
Announcing the Vector Space Day 2025 Speaker Lineup
We are just days away from Vector Space Day in Berlin, and the full speaker lineup is here! This year’s program spans keynotes, deep-dive technical sessions, and lightning talks, covering everything from benchmarking search engines to scalable AI memory and multimodal embeddings.
Qdrant
September 15, 2025
How Tavus used Qdrant Edge to create conversational AI
Tavus used Qdrant edge retrieval to cut latency and deliver natural, human-grade conversational AI.
Daniel Azoulai
September 12, 2025
How Fieldy AI Achieved Reliable AI Memory with Qdrant
Discover how Fieldy AI built a fault-tolerant AI memory platform with Qdrant, achieving 100% reliable real-time recall, seamless hybrid search, and significant cost savings at scale.
Daniel Azoulai
September 04, 2025
Balancing Relevance and Diversity with MMR Search
Learn how to implement Maximum Marginal Relevance (MMR) with Qdrant to create diverse search results in fashion discovery. This guide shows how to balance relevance and diversity using the DeepFashion dataset and CLIP embeddings.
Thierry Damiba
September 04, 2025
How OpenTable Reinvented Restaurant Discovery with Qdrant
Discover how OpenTable built Concierge, a generative AI dining assistant powered by Qdrant, achieving accurate retrieval, global scalability, and operational stability while redefining how diners discover restaurants.
Daniel Azoulai
September 02, 2025
Untangling Relevance Score Boosting and Decay Functions
Understanding decay functions for relevance score boosting.
Evgeniya Sukhodolskaya
September 01, 2025
How PortfolioMind Delivered Real-Time Crypto Intelligence with Qdrant
Discover how PortfolioMind achieved significant reductions in latency and boosts in engagement by modeling real-time user intent with Qdrant.
Daniel Azoulai
July 31, 2025
Qdrant Edge: Vector Search for Embedded AI
Private Beta launching for Qdrant Edge - lightweight, embedded vector search engine designed to run on local hardware with limited persistent background threads, network access, or centralized coordination.
Qdrant
July 29, 2025
Qdrant for Research: The Story Behind ETH & Stanford’s MIRIAD Dataset
Discover how Qdrant contributed to ETH & Stanford researchers’ mission to advance the development of AI in medicine.
Evgeniya Sukhodolskaya & Daniel Azoulai
July 23, 2025
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