Works
RAG Archive.
Jun 2026
LectureLens: AI-Powered Study Assistant with RAG & Hybrid Search
A production-grade Flask application that ingests PDF, DOCX, and PPTX lecture materials, indexes them with ChromaDB vector embeddings and SQLite FTS5 full-text search, then answers natural-language questions via a RAG pipeline powered by NVIDIA's LLaMA 3.3 70B, complete with page-level source citations.
Feb 2025
Document Q&A System
Production-ready RAG system built with LangChain, FAISS, and Streamlit. Upload PDF, DOCX, or TXT files and ask natural language questions with source citations and conversational follow-up memory.
Jan 2025
AI Research Assistant Agent
Autonomous AI research agent built with Python, Groq LLM, and Tavily Search API, searches the web, extracts multi-source content, and generates structured, cited research reports with PDF/TXT export.