Analyze Financial Data with AI! Build a Local Agentic RAG to Analyze Stocks (LangGraph & Ollama)

Do you still need analyze financial documents by yourself? In this step-by-step tutorial, learn how to build Agentic RAG that understands financial documents and works with SEC filings and stock price history. We'll build "FinVault", a complete application running entirely locally using Ollama (Qwen 3) or use Gemini 2.5 and LangGraph. AI Academy: https://www.mlexpert.io/ LinkedIn: https://www.linkedin.com/in/venelin-valkov/ Follow me on X: https://twitter.com/venelin_valkov Discord: https://discord.gg/UaNPxVD6tv Subscribe: http://bit.ly/venelin-subscribe GitHub repository: https://github.com/curiousily/AI-Bootcamp 👍 Don't Forget to Like, Comment, and Subscribe for More Tutorials! 00:00 - Welcome 00:53 - Source code and live sessions on MLExpert 01:48 - Simple vs Agentic RAG 04:02 - Agentic workflow architecture 05:23 - Project structure and config 07:42 - Tools for historical price and SEC filings 12:02 - Agentic workflow with LangGraph 20:24 - Streamlit UI app 23:51 - FinVault demo Join this channel to get access to the perks and support my work: https://www.youtube.com/channel/UCoW_WzQNJVAjxo4osNAxd_g/join