Watch a conference talk from the Toronto Machine Learning Series where RBC's Head of AI Solution Acceleration & Innovation, Ehsan Amjadian, explores the development of Arcane, a Retrieval-Augmented Generation (RAG) system. Discover how this innovative system helps specialists quickly locate relevant investment policies across internal platforms, significantly improving productivity. Learn about the key building blocks of the RAG system, explore major challenges encountered during development, and gain insights into best practices and valuable lessons learned throughout the implementation process. Understand how this 31-minute presentation demonstrates the practical application of AI technology in streamlining financial policy access and management.
Building Arcane - A Retrieval-Augmented Generation System for Investment Policies
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Arcane, an Internal RAG System to Pinpoint Investment Policies
Taught by
Toronto Machine Learning Series (TMLS)
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