Qdrant Blog

Announcing Vector Space Day 2026 in San Francisco

From building scalable RAG pipelines to enabling real-time AI memory and next-gen context engineering, we’re covering the full spectrum of modern vector-native search.

Start with pgvector: Why You'll Outgrow It Faster Than You Think

We analyzed 110+ community threads from Hacker News and Reddit to test the 'just use pgvector' heuristic. pgvector is a reasonable default, but only when six specific conditions hold simultaneously. Most applications hit its limits sooner than expected.

Video Anomaly Detection From Edge to Cloud With Qdrant

Qdrant Edge, Twelve Labs Marengo 3.0, NVIDIA Metropolis VSS, and Vultr Cloud GPUs come together for real-time video anomaly detection. Detect what you've never seen before.

We Raised $50M to Build Composable Vector Search as Core Infrastructure

Qdrant announces $50M in Series B funding led by AVP to build composable vector search as foundational infrastructure for production AI — from agentic workflows to edge devices.

Qdrant Meets Google Gemini Embedding 2

How GlassDollar improved high-recall sourcing by migrating from Elasticsearch to Qdrant

Discover how GlassDollar reduced infrastructure costs by ~40% and increased user engagement 3x by improving end-to-end accuracy with Qdrant.

Convolve 4.0 - IIT Hackathon Winners

Discover the winners of Qdrant’s Convolve 4.0 - IIT Hackathon, where developers built innovative vector search applications using Multi-Agent Intelligence Systems - from e-commerce to healthcare, trends, and more.

How My AskAI Built Self-Improving Support Agents

Discover how My AskAI built a self-improving customer support agent platform with Qdrant Cloud, enabling scalable retrieval, hybrid search iteration, and faster operations.

Qdrant 1.17 - Relevance Feedback & Search Latency Improvements

Version 1.17 of Qdrant features a new Relevance Feedback Query, search latency improvements, and better operational observability.