A Streamlit-based AI tool that allows users to upload or fetch research papers, process them into embeddings, and ask academic questions—powered by OpenAI, LangChain, and FAISS with real-time source-backed answers.

A powerful Streamlit-Based web application that allows users to upload PDF documents and interact with an AI chatbot powered by a multi-hop retrieval-augmented generation (RAG) technique.

Examples of top-used LangChain document loaders including CSVLoader, DirectoryLoader, PyPDFLoader, TextLoader, and WebBaseLoader. These loaders standardize raw data into LangChain Document objects for further processing, splitting, embeddings, and RAG workflows.