Join us for our next developer meetup!
Building Smarter AI: How RAG Works & Why It Matters in Financial Services
Retrieval-Augmented Generation (RAG) is revolutionizing AI applications, but how does it actually work?
In this session, we’ll break down the mechanics of RAG, explore how multi-model databases enhance retrieval efficiency, and walk through a hands-on example of building a RAG-powered AI app using SurrealDB.
For those in financial services, we’ll take it a step further—demonstrating RAG in action on real FinServ datasets, tracing LLM interactions, and discussing real-world challenges like data privacy and compliance.
What we’ll cover:
- The fundamentals of RAG - what’s happening under the hood
- A hands-on walkthrough of building a RAG app using SurrealDB
- Financial services use case - querying industry-specific data with RAG
- Open discussion on real-world applications and future innovations
Agenda
18:30 - 19:00
Welcome drinks, pizza & networking
Attendees arrive – grab a drink, explore the space and meet the SurrealDB team.
19:00 - 19:30
Building Smarter AI: How RAG Works & Why It Matters in Financial Services
19:30 - 20:00
Refreshments & networking
Connect with others in the tech community. Grab a slice of pizza & a drink and chat with other attendees and members of the SurrealDB team.
20:00 - 20:30
Building Smarter AI: How RAG Works & Why It Matters in Financial Services - continued
20:30 - 21:00
Refreshments and networking
21:00
End of event
Host: Alessandro Pireno | LinkedIn
Alessandro is a seasoned product development and solutions leader with a proven track record of building and scaling data-driven solutions across diverse industries. He has led product strategy and development at companies like HUMAN and Omnicom Media Group, optimized data collection and distribution at GroupM, and was an early leader of success at Snowflake. With a deep understanding of the challenges and opportunities facing today’s tech landscape, Alessandro is passionate about empowering organizations to unlock the full potential of their data through innovative database solutions.
