Financial Analysis RAG Tool Using Machine Learning and Data Science

Learn to build a RAG (Retrieval-Augmented Generation) application for financial analysis of publicly traded companies in this 56-minute Spanish-language video tutorial. Explore the implementation of Google's Gemini Pro 1.5 models and embeddings, while integrating Langchain and Qdrant as a vector store. Master the use of financial information APIs like Yahoo Finance to gather market data, with hands-on demonstrations and access to a complete Jupyter notebook for practical implementation.