Qdrant: Open Source Vector Search Engine and Vector Database
Offered By: CMU Database Group via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the world of vector search engines and vector databases in this informative seminar talk by Andrey Vasnetsov from Qdrant. Delivered as part of the CMU Database Group's ML⇄DB Seminar Series in 2023, dive deep into the open-source solution Qdrant offers for efficient vector search and storage. Learn about the latest advancements in vector database technology, its applications, and how it can revolutionize data retrieval and analysis. Gain insights into the architecture, features, and performance of Qdrant, and understand how it compares to other solutions in the field. Whether you're a database professional, machine learning enthusiast, or curious about cutting-edge data technologies, this hour-long presentation provides valuable knowledge on the intersection of vector search and database systems.
Syllabus
Qdrant: Open Source Vector Search Engine and Vector Database (Andrey Vasnetsov)
Taught by
CMU Database Group
Related Courses
4.0 Shades of Digitalisation for the Chemical and Process IndustriesUniversity of Padova via FutureLearn A Day in the Life of a Data Engineer
Amazon Web Services via AWS Skill Builder FinTech for Finance and Business Leaders
ACCA via edX Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera Accounting Data Analytics
Coursera