Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
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Updated
Jan 20, 2025 - Jupyter Notebook
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
MediQuery is a web app that helps users input symptoms and receive patient-friendly explanations, possible causes, and home-care guidance. It also generates a doctor-ready summary report (PDF) for smoother consultations. Built with Next.js 15, React 19, TailwindCSS, shadcn/ui, and Groq API for free AI integration.
Generative AI Projects - Google Collab Notebooks and Production Deployment Code
A powerful Streamlit application that allows users to analyze and interact with YouTube video content through natural language questions.
Automated Resume Relevance Check System, an AI-powered recruitment web app designed to automate, analyze, and enrich the resume evaluation process.
This project offers document summarization and Q&A using Llama 3.1 (8B) on GroqCloud. It handles large PDFs, DOCX, and TXT files with regex-based redaction, and answers questions in real time—all through an easy-to-use Streamlit interface, with no local model setup needed.
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