Qdrant Meets Google Gemini Embedding 2
Neil Kanungo
March 10, 2026
We Raised $50M to Build Composable Vector Search as Core Infrastructure
Andre Zayarni
March 12, 2026
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Qdrant Blog
How ConvoSearch Boosted Revenue for D2C Brands with Qdrant
Discover how ConvoSearch leveraged Qdrant to significantly improve recommendation accuracy, reduce latency, and boost customer revenue dramatically.
Daniel Azoulai
June 10, 2025
Introducing the Official Qdrant Node for n8n
Qdrant now has an official, team-supported node for n8n.
Maddie Duhon & Evgeniya Sukhodolskaya
June 09, 2025
Qdrant + DataTalks.Club: Free 10-Week Course on LLM Applications
Gain hands-on experience with RAG, vector search, evaluation, monitoring, and more.
Qdrant
June 05, 2025
How Qovery Accelerated Developer Autonomy with Qdrant
Discover how Qovery empowered developers and drastically reduced infrastructure management latency using Qdrant.
Daniel Azoulai
May 27, 2025
How Tripadvisor Drives 2 to 3x More Revenue with Qdrant-Powered AI
Tripadvisor transformed trip planning and search by using Qdrant to index over a billion user-generated reviews and images. Learn how this powered AI features that boost revenue 2 to 3x for engaged users.
Daniel Azoulai
May 13, 2025
Precision at Scale: How Aracor Accelerated Legal Due Diligence with Hybrid Vector Search
Explore how Aracor transformed manual, error-prone legal document processing into an accurate, scalable, and rapid workflow, leveraging hybrid, filtered, and multitenant vector search technology.
Daniel Azoulai
May 13, 2025
How Garden Scaled Patent Intelligence with Qdrant
Discover how Garden ingests 200 M+ patents and product documents, achieves sub-100 ms query latency, and launched a new infringement-analysis business line with Qdrant.
Daniel Azoulai
May 09, 2025
Exploring Qdrant Cloud Just Got Easier
Read about recent improvements designed to simplify your journey from login, creating your first cluster, prototyping, and going to production.
Qdrant
May 06, 2025
How Pariti Doubled Its Fill Rate with Qdrant
Learn how Pariti retrieves candidate vectors in milliseconds, and identifies 94% of top performers, and fills roles twice as often with Qdrant.
Daniel Azoulai
May 01, 2025
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