PdfPal is a multi-source RAG application designed to turn PDF documents and web pages into an interactive knowledge base.

It allows users to upload one or more PDFs, paste web URLs, process the content, and chat with the material using their preferred AI provider. The app supports models from Groq, OpenAI, Google Gemini, Anthropic, and Mistral, while using FAISS and Hugging Face embeddings for efficient local retrieval.

Built with Streamlit and LangChain, PdfPal demonstrates a practical end-to-end RAG workflow with clean document ingestion, searchable indexing, and source-grounded Q&A.

This project highlights my work in RAG pipelines, document processing, vector search, and AI application development.