Building Smarter AI: How RAG works & why it matters in Financial Services

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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

Coming soon!

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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.

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Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.

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