Qdrant 1.13 - GPU Indexing, Strict Mode & New Storage Engine
David Myriel
January 23, 2025
HubSpot & Qdrant: Scaling an Intelligent AI Assistant
Andre Zayarni
March 24, 2025
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Qdrant Blog
Vector Search for Content-Based Video Recommendation - Gladys and Samuel from Dailymotion
Gladys Roch and Samuel Leonardo Gracio from Dailymotion, discussed optimizing video recommendations using Qdrant's vector search alongside challenges and solutions in content-based recommender systems.
Demetrios Brinkmann
March 19, 2024
IrisAgent and Qdrant: Redefining Customer Support with AI
Learn how IrisAgent leverages Qdrant for RAG to automate support, and improve resolution times, transforming customer service
Manuel Meyer
March 06, 2024
Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Database
Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Database
Atita Arora
February 27, 2024
Qdrant vs Pinecone: Vector Databases for AI Apps
In this detailed Qdrant vs Pinecone comparison, we share the top features to determine the best vector database for your AI applications.
Qdrant Team
February 25, 2024
What is Vector Similarity? Understanding its Role in AI Applications.
Discover the significance of vector similarity in AI applications and how our vector database revolutionizes similarity search technology for enhanced performance and accuracy.
Qdrant Team
February 24, 2024
DSPy vs LangChain: A Comprehensive Framework Comparison
We dive deep into the capabilities of DSPy and LangChain and discuss scenarios where each of these frameworks shine.
Qdrant Team
February 23, 2024
Qdrant Summer of Code 24
Introducing Qdrant Summer of Code 2024 program. GSoC alternative.
Andre Zayarni
February 21, 2024
Dust and Qdrant: Using AI to Unlock Company Knowledge and Drive Employee Productivity
Using AI to Unlock Company Knowledge and Drive Employee Productivity
Manuel Meyer
February 06, 2024
The Bitter Lesson of Retrieval in Generative Language Model Workflows - Mikko Lehtimäki | Vector Space Talks
Mikko Lehtimäki delves into the intricate world of retrieval-augmented generation, discussing how Yokot AI manages vast diverse data inputs and how focusing on re-ranking can massively improve LLM workflows and output quality.
Demetrios Brinkmann
January 29, 2024
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