MediBot is an AI-powered medical chatbot that leverages state-of-the-art language models and vector search to answer user queries based on a curated set of medical PDF documents. It uses Streamlit for the user interface, LangChain for LLM orchestration, and FAISS for efficient vector search.

Built an AI-based multi-document chatbot using Retrieval-Augmented Generation (RAG) that enables conversational querying of PDFs with semantic search.

Chat with PDF - simple setup for creating and testing RAG and LLM capabilities

Production RAG patterns and semantic drift detection for Microsoft Fabric

Meet Ava, the WhatsApp Agent

🕸️ Self-Optimizing Multi-Agent AI System on AWS — Routes tasks to specialized AI agents (Coder, Researcher, Summarizer) with auto-verification, self-correction, and vector-cached memory. Built with Step Functions, Bedrock, and OpenSearch Serverless.

Groq-powered Retrieval-Augmented Generation (RAG) system with semantic search, source citation, and Streamlit UI.

🎥 YouTube RAG Q&A App - Learn LangChain through Practice

🎥 Ask questions about YouTube videos using AI with this RAG app, which leverages transcripts and embeddings for context-aware answers.