Building a DIY investment planner using RAG pipelines

Learn how to build your own AI-powered investment planner using Retrieval-Augmented Generation (RAG) pipelines. This workshop covers data retrieval, LLM fine-tuning, and AI-driven financial insights to help you create a personalized investment assistant. We’ll guide you through the fundamentals of RAG, integrating real-time financial data, and deploying your planner. Ideal for finance professionals, developers, and AI enthusiasts with basic Python knowledge, this hands-on session will equip you with the skills to leverage AI for smarter investment decisions. Join us to explore the future of AI-driven financial planning

• Understanding RAG Pipelines – Learn how Retrieval-Augmented Generation (RAG) enhances AI-driven financial decision-making.
• Financial Data Retrieval – Integrate APIs like Yahoo Finance, Alpha Vantage to fetch real-time data
• Vector Databases – Use FAISS for efficient investment-related information retrieval
• LLM Integration – Fine-tune an LLM (GPT, Llama, etc.) for personalized financial insights.
• Deployment – Build an interactive Streamlit app for AI-driven investment planning.