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retrieval-augmented-generation-rag

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AI-Rag-ChatBot is a complete project example with RAGChat and Next.js 14, using Upstash Vector Database, Upstash Qstash, Upstash Redis, Dynamic Webpage Folder, Middleware, Typescript, Vercel AI SDK for the Client side Hook, Lucide-React for Icon, Shadcn-UI, Next-UI Library Plugin to modify TailwindCSS and deploy on Vercel.

  • Updated Jul 10, 2025
  • TypeScript

A comprehensive, hands-on tutorial repository for learning and mastering LangChain - the powerful framework for building applications with Large Language Models (LLMs). This codebase provides a structured learning path with practical examples covering everything from basic chat models to advanced AI agents, organized in a progressive curriculum.

  • Updated Jul 15, 2025
  • Python

📄 QuestRAG: AI-powered PDF Question Answering & Summarizer Bot using LangChain, Flan-T5, and Streamlit: A GenAI mini-project that allows users to upload research PDFs, ask questions, and get intelligent summaries using Retrieval-Augmented Generation (RAG) with locally hosted Hugging Face models.

  • Updated Jul 4, 2025
  • Python

An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.

  • Updated Jul 28, 2025
  • Python

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