Qdrant 1.11 - The Vector Stronghold: Optimizing Data Structures for Scale and Efficiency
David Myriel
·August 12, 2024
David Myriel
·October 08, 2024
David Myriel
·August 12, 2024
Andre Zayarni, CEO & Co-Founder
·April 15, 2024
David Myriel
·March 12, 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
Learn how to simplify the process of loading unstructured data into Qdrant using the Qdrant Unstructured destination.
Anush Shetty
·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
Bloop is a fast code-search engine that combines semantic search, regex search and precise code navigation
Qdrant Team
·February 28, 2023
Why Pienso chose Qdrant as a cornerstone for building domain-specific foundation models.
Qdrant Team
·February 28, 2023