📄 RAG Document Assistant

A Retrieval-Augmented Generation (RAG) based AI system that answers questions from documents using semantic search and LLMs.

🚀 Features 📚 Load and process PDF documents 🔍 Semantic search using embeddings 🧠 Context-aware answer generation 📝 Automatic summarization of documents

🛠 Tech Stack Python LangChain ChromaDB (Vector Database) HuggingFace Transformers Sentence Transformers

⚙️ How it Works Load PDF documents Split into chunks Convert text into embeddings Store in vector database Retrieve relevant chunks Generate answer using LLM

📂 Project Structure rag-doc-assistant/ │ ├── sample_docs/ │ └── rpa_blueprism.pdf │ ├── rag_pipeline.ipynb ├── README.md

💡 Example Queries What is RPA? Explain Blue Prism Summarize the document

📌 Future Improvements Add web interface (Streamlit) Support multiple documents Use advanced LLM APIs

👨‍💻 Author Anirvan Mohapatra