Qdrant Blog

All Vectors Lead to Community: Vector Space Day 2025 Recap

Vector Space Day 2025 in Berlin brought together nearly 400 developers, researchers, and industry leaders to explore vector search, agentic AI, and real-world retrieval architectures through keynotes, breakout talks, lightning sessions, and community networking.

Thinking Outside the Bot with 2025 Hackathon Winners

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.

How Tavus used Qdrant Edge to create conversational AI

Tavus used Qdrant edge retrieval to cut latency and deliver natural, human-grade conversational AI.

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.

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.

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.

Untangling Relevance Score Boosting and Decay Functions

Understanding decay functions for relevance score boosting.

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.