Malmo PostgreSQL User Group (M-PUG)

From Queries to Pints: Building a Beer Recommendation System with pgvector

Discover how easily you can create a recommendation system from scratch using modern AI and database technologies.

In this session, we’ll build a beer recommendation system using advanced language models and PostgreSQL's pgvector extension. By leveraging the capabilities of pgvector, we can seamlessly store high-dimensional embeddings generated from beer descriptions and perform similarity search with user preferences.

Whether you're a seasoned database administrator or just starting to explore the potential of AI, this presentation will equip you with practical insights and hands-on techniques to integrate machine learning into your database workflows. Join to learn how to turn complex data into intuitive recommendations! No prior ML knowledge required.

Speaker:

Andrzej Nowicki - is a member of the CERN Database Team, specialising in Oracle, MySQL and PostgreSQL databases. With a passion for solving technical challenges and a commitment to sharing his knowledge of database systems, he makes valuable contributions to the team's objectives. Andrzej began his journey with CERN in 2020. Prior to joining CERN, he gained experience working with various companies, where he actively contributed to numerous IT projects as a database administrator. He holds a MEng from Poznan University of Technology. Outside of his professional pursuits, Andrzej finds joy in exploring the world around him. He nurtures his adventurous spirit by travelling, hiking and skiing.

Agenda:

17:30 – 17:45 – Meet & Greet
17:45 – 18:30 – Presentation
18:30 – 19:00 – Meet & eat
19:00 – 20:00 – Q&A