I have developed a Python-based AI application that allows users to upload PDFs and either ask questions or generate concise summaries. The app uses LangChain, Ollama, and Chroma for text processing and vector search, with Streamlit providing an interactive web interface. The system supports large documents by splitting them into chunks for efficient retrieval. The project is containerized using Docker for easy deployment. Key features: PDF upload and processing AI-powered Q&A based on document content Factual, concise summarization of PDF content Dockerized for cross-platform deployment Compatible with vector embeddings for fast retrieval Optional enhancements: OCR support for scanned PDFs can be integrated.