Precision at Scale: How Aracor Accelerated Legal Due Diligence with Hybrid Vector Search
Daniel Azoulai
May 13, 2025
Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses building a high-performance hotel matching solution with Qdrant, addressing data inconsistency, duplication, and real-time processing challenges.
Demetrios Brinkmann
January 09, 2024
Nirant Kasliwal discusses the efficiency and optimization techniques of FastEmbed, a Python library designed for speedy, lightweight embedding generation in machine learning applications.
Demetrios Brinkmann
January 09, 2024
Filip Makraduli discusses using human language and AI to capture music vibes, encoding text with sentence transformers, generating recommendations through vector spaces, integrating Streamlit and Spotify API, and future improvements for AI-powered music recommendations.
Demetrios Brinkmann
January 09, 2024
Andrey Vasnetsov, CTO of Qdrant, discusses the concept of binary quantization and its benefits in vector indexing, including the challenges and potential future developments of this technique.
Demetrios Brinkmann
January 09, 2024
Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub
Anush Shetty
January 06, 2024
Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared about vector search and applications with Learn NLP Academy.
Alyona Kavyerina
December 11, 2023
Nils Reimers head of machine learning at Cohere comes on the recent vector space talks to share details about their latest embedding V3 model.
Demetrios Brinkmann
November 19, 2023
Why Pienso chose Qdrant as a cornerstone for building domain-specific foundation models.
Qdrant Team
February 28, 2023
Bloop is a fast code-search engine that combines semantic search, regex search and precise code navigation
Qdrant Team
February 28, 2023