Local RAG System with DeepSeek-R1, Ollama and LangChain for Document Analysis

Learn to create a private document AI assistant in this comprehensive tutorial that demonstrates building a local Retrieval-Augmented Generation (RAG) system. Master the implementation of advanced features including document chunking, contextual retrieval, semantic search, and integration with DeepSeek-R1 through Ollama and LangChain. Follow along to develop a system capable of analyzing PDFs and various document formats while maintaining complete data privacy. Explore key concepts including file ingestion processes, chatbot development with Ollama and LangGraph workflow, streaming capabilities, source tracking, chat history management, and Streamlit UI implementation. Get hands-on experience testing the RAG system with blog post analysis and understand the complete architecture from project structure to final deployment.