Intel’s New CPU Powers Faster Vector Search
David Myriel, Kumar Shivendu
·May 10, 2024
David Myriel
·August 12, 2024
David Myriel, Kumar Shivendu
·May 10, 2024
Andre Zayarni, CEO & Co-Founder
·April 15, 2024
David Myriel
·March 12, 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
Qdrant v0.10 introduced full-text filters and indexes to enable more search capabilities for those working with textual data.
Kacper Łukawski
·November 16, 2022
Discover the power of vector storage optimization and learn how to efficiently manage multiple vectors per object for enhanced semantic search capabilities.
Kacper Łukawski
·October 05, 2022
Discover how to optimize your vector search capabilities with efficient batch search. Learn optimization strategies for faster, more accurate results.
Kacper Łukawski
·September 26, 2022
Qdrant's support for ARM architecture marks a pivotal step in enhancing accessibility and performance. This development optimizes data indexing and retrieval.
Kacper Łukawski
·September 21, 2022