Enhancing Intelligence with Retrieval-Augmented Generation
CSITAN Pokhara presents an insightful session on RAG AI in Finance, exploring how Retrieval-Augmented Generation (RAG) is transforming financial decision-making, analysis and innovation. From traditional spreadsheets to intelligent systems that understand context and generate accurate insights, AI is rapidly reshaping the financial sector.
Retrieval-Augmented Generation (RAG) combines the capabilities of Large Language Models (LLMs) with external knowledge retrieval systems, enabling more reliable, context-aware and up-to-date responses. This session is designed to help participants understand the fundamentals of AI and LLMs, explore how RAG works and discover its practical applications in finance.
Whether you are a student, AI enthusiast, aspiring developer or simply curious about the future of intelligent systems, this session offers valuable insights into one of today's most impactful AI technologies.
📅 Date: 25th Jestha, 2083 (June 8, 2026)
⏰ Time: 7:00 PM onwards
💻 Platform: Google Meet
• Introduction to RAG AI
• AI and Large Language Model (LLM) fundamentals
• Understanding Retrieval-Augmented Generation (RAG)
• Why RAG matters in finance
• RAG architecture and workflow
• Live demonstrations and real-world case studies
• Challenges, limitations and risks
• Future applications of RAG in the financial industry
• Interactive Q&A session
CSIT Association of Nepal - CSITAN Pokhara
📘 Facebook: CSITAN-Pokhara
📧 Email: csitanpokharaofficial@gmail.com
Register Now: https://acesse.one/imitgms
