Build 100% Local Advanced RAG System for Financial PDFs with Qwen 3.5 | Docling, LangGraph & Ollama

Description

Learn how to build a production-ready, completely offline RAG application capable of analyzing dense financial reports and extracting tabular data. This complete tutorial integrates Docling, LangGraph, Ollama, and pgvector with a FastAPI backend to stream real-time answers and citations directly to a Streamlit UI. AI Academy: https://mlexpert.io/ Work with me: https://mlexpert.io/consulting 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! Join this channel to get access to the perks and support my work: https://www.youtube.com/channel/UCoW_WzQNJVAjxo4osNAxd_g/join