New DeepLearning.AI Course on Multi-Vector Image Retrieval with ColPali and MUVERA
Kacper Łukawski
December 11, 2025

Discover how Cosmos powered text, color, and hybrid search with sub-second latency and 79% faster processing by adopting Qdrant Cloud as its retrieval layer.
Daniel Azoulai
November 20, 2025

Discover how Dragonfruit AI leveraged Qdrant’s per-collection configurability and float16 optimizations to achieve real-time, multi-camera computer vision analytics at enterprise scale.
Daniel Azoulai
November 13, 2025

The free, self-service, and online Qdrant Academy site has launched with its first comprehensive course, Qdrant Essentials. Read to learn more.
Neil Kanungo
October 23, 2025

Discover how TrustGraph combined Qdrant vector search with graph-native semantics and streaming pipelines to deliver resilient, deterministic, and scalable agentic AI built for production, not demos.
Daniel Azoulai
October 10, 2025

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.
Qdrant
September 30, 2025

Qdrant
September 29, 2025

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

Tavus used Qdrant edge retrieval to cut latency and deliver natural, human-grade conversational AI.
Daniel Azoulai
September 12, 2025

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
