AI Research Assistant

Overview

AI Research Assistant is a Retrieval-Augmented Generation (RAG) platform that transforms research papers into an intelligent assistant capable of answering questions with citations. Users can upload research PDFs, interact with the documents in natural language, generate summaries, create flashcards, take quizzes, and compare multiple papers from a single interface. The application combines IBM Granite LLM with semantic search to deliver accurate, context-aware responses.

Features

Upload and analyze research PDFs
Citation-grounded question answering
Semantic search using FAISS vector database
Automatic document chunking and embedding generation
AI-generated summaries
Flashcard generation
Quiz generation
Multi-document comparison
Markdown and PDF export
Interactive Streamlit interface

Tech Stack

Python
IBM Granite
LangChain
FAISS
BGE-small-en-v1.5 Embeddings
Streamlit

Highlights

Built an end-to-end RAG pipeline.
Implemented semantic retrieval with vector indexing.
Delivered citation-backed responses to reduce hallucinations.
Designed an intuitive interface for researchers and students.