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

- Institution: CERN
- Department: Visitor badges
- Speaker: Andrzej Nowicki
- Year: 2025
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3022758)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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..

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## Lectures

1. [From Queries to Pints: Building a Beer Recommendation System with pgvector](https://invisiblenetwork.ai/learn/cern/3022758/e897299c3d6f), 42 min (CERN's player)