Building a RAG-based Financial Analysis Tool with Machine Learning

Learn to build a Retrieval-Augmented Generation (RAG) application for financial analysis of publicly traded companies in this 53-minute video tutorial. Explore the integration of Google's Gemini Pro 1.5 models and embeddings with Langchain framework and Qdrant vector store. Discover how to leverage financial data APIs like Yahoo Finance to access market information. Follow along with the provided Jupyter notebook to create a practical tool that combines machine learning and financial analysis capabilities.