A lightweight local AI vision agent built with Streamlit + LangGraph + Ollama that analyzes images and answers user questions using a multi-step pipeline.

A powerful AI chat application built with Streamlit + LangGraph + Ollama that supports: Multi-threaded conversations, PDF-based RAG, Web search, Stock price lookup, Calculator tool, Persistent memory using SQLite checkpoints

A fully local, privacy-first research assistant powered by LangGraph (multi-agent orchestration), Ollama (local LLMs), and Streamlit (frontend UI).

An end-to-end AI-powered blog generation system built using LangGraph + Ollama + Streamlit. It automatically plans, researches (optional), writes, and formats high-quality technical blogs.

A Self-RAG (Retrieval-Augmented Generation) chatbot built using LangGraph + Ollama + Streamlit. It intelligently decides when to retrieve company documents and ensures answers are grounded, useful, and verifiable.

A Retrieval-Augmented Generation (RAG) application that allows users to ask questions about a YouTube video. The app extracts the video transcript, converts it into embeddings, stores them in a vector database, retrieves relevant context, and generates answers using an LLM.