PostgreSQL Edinburgh meetup Dec 2025
Be part of the very first Edinburgh PostgreSQL Meetup!
Join host Jimmy Angelakos and fellow PostgreSQL enthusiasts at the University of Edinburgh's beautiful Old College building.
Connect with peers (all levels welcome!) for an evening of insightful discussions, networking, pizza, and refreshments.
Agenda
6:00 PM: Doors Open, Pizza & Networking
6:55 PM: Introductions & Community Announcements
7:00 PM: Talk 1: Chris Ellis (Nexteam): PostgreSQL Tips & Tricks (For App Devs)
7:40 PM: Break
8:00 PM: Talk 2: Jimmy Angelakos (pgEdge): RAGtime with Postgres: AI Power with pgvector and Retrieval-Augmented Generation
8:40 PM: Wrap-up
8:45 PM: Event End
PostgreSQL Tips & Tricks (For App Devs)
PostgreSQL has a huge range of features, maybe too many. Making use of these features can often make application developer's lives easier, reducing the complexity of their application.
We'll take a look at some use cases I've ran into over the years and what features of PostgreSQL can be used to help solve those problems.
Taking a look at use cases such as:
Event scheduling & booking
Task execution
Searching
Geolocation
Unknown data
And more!
RAGtime with Postgres: AI Power with pgvector and Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is a powerful paradigm in application development with AI. In this talk, we'll demonstrate how to leverage PostgreSQL with pgvector to combine the strengths of vector similarity search with Large Language Models (LLMs).
As the speaker is a Postgres nerd (not an AI expert), we'll explain in simple terms how to dip your toes into AI while leveraging our favorite database -- from the perspective of a database person learning to work with these new tools.
We'll walk through:
How to use pgvector to store and search vector embeddings (and what those are)
How to connect these capabilities with AI LLMs to build intelligent applications.
Some practical tips for implementation, including configuration, indexing strategies, and scaling considerations
How to reduce dependency on expensive external AI services by using open-source models while maintaining control over costs and infrastructure
To demonstrate these concepts in action, we'll look at a real-world example of building a developer assistance system that helps teams understand their codebase.
This meetup is bound by the PostgreSQL Code of Conduct.
Volunteer help (greeting attendees, logistics, etc.) would be greatly appreciated for this and future meetups! Please email vyruss000 (at) gmail.com if you can help!