A starter template for building Next.js applications with Supabase for authentication, TypeScript, and Tailwind CSS. Includes branches for creating Langchain and LLM chat interfaces and integrating Stripe subscription payments, making it ideal for setting up modern, scalable web apps with robust auth, AI-driven features, and payment processing.

Unlocked the potential of artificial intelligence to create language-based applications in this project-based learning journey. Implemented advanced LLM models such as OpenAI and Hugging Face using Python, and gained skills to develop innovative LLM solutions.

I am experimenting with Langchain framework , which apparently helps us build powerful applications with AI by bridging the complexity of building smart apps powered by LLM and external data sources.

MCQ Generator on Generative AI built using LangChain and HuggingFace API open source LLM and streamlit for building web app

Active loop course on building powerful AI powered apps using langchain's LLM and OpenAI

Generative AI Apps with LangChain and Python A Project-Based Approach to Building Real-World LLM Apps

Beginner-friendly LangChain tutorial with Python examples for building AI agents, chatbots, and LLM-powered apps.

Beginner-friendly LangChain tutorial with Python,Golang examples for building AI agents, chatbots, and LLM-powered apps.

Code and projects for the Generative AI course. Covers everything from Python basics to building apps with LLMs and LangChain.

🚀 Exploring **LangChain with Generative AI** — building LLM-powered apps, smart agents, and intelligent AI workflows through hands-on experiments and projects. 🤖✨

This project is for building an AI Agent APP with Python, FastAPI, Langchain framework, Open Source LLM (mistral) etc.

Generative AI Bootcamp – LLM Apps & AI Agents. A hands-on bootcamp for building AI-powered applications using Large Language Models (LLMs) and AI Agents. Developing LLM apps with LangChain, LlamaIndex, FastAPI, Flask, Next.js, and more while managing data with PostgreSQL and enhancing workflows using Cursor AI.

🚀 LangChain AI Projects – A collection of experiments and apps built using LangChain to explore the power of LLMs, agents, chains, memory, and custom data retrieval. 🧠💬 Perfect for building smart, context-aware AI tools using Python + LLMs! 🤖🛠️

Master Modern LangChain (LCEL) with Local LLMs using Ollama. A production-ready guide to building offline AI apps, RAG, and Agents without OpenAI keys. 100% Privacy-focused.

How LangChain works for chaining LLM calls ✅ Building AI-powered chatbots & apps ✅ Retrieval-Augmented Generation (RAG) for smarter AI ✅ Integrating external data & APIs for real-world use cases

Hi! I'm Zain, an AI enthusiast focused on building intelligent systems using GPT, Streamlit, and LangChain. Currently working on LLM-based evaluation tools and real-time chatbot apps.

Learning LangChain & GenAI for building smart LLM apps. Includes chains, memory, tools & retrievers. This repo will evolve into an agentic AI system using LangGraph for planning, reasoning, and autonomous agents.

Master Python, AI & Enterprise Development" – A 12-week intensive program covering core Python, SQL, LLMs (LangChain/RAG), and Frappe Framework for building AI-powered enterprise apps. Hands-on projects include CLI tools, RAG pipelines, multi-agent systems, and a Frappe-LangChain integrated library manager.

LangChain Assistant with Gemma is an AI-powered Q&A app built with LangChain and the Ollama Gemma 2b model using Streamlit. It showcases prompt engineering and seamless LLM integration to deliver intelligent, context-aware responses. The app is user-friendly and demonstrates the potential of LangChain for building real-world AI applications.

Hi 👋 I’m Akshat, a Computer Science student passionate about React, AI/ML, and building real-world solutions. I love experimenting with LLMs, LangChain, and CNN models while creating clean and scalable web apps.

A Generative AI app that uses AWS Bedrock and LangChain to retrieve data and generate context-aware responses using LLMs. Ideal for building intelligent chatbots, assistants, or search systems powered by external knowledge sources.

An AI-powered chatbot built with Streamlit, LangChain, and Google Gemini. Features dark ChatGPT-like UI, conversation memory, model selection, chat history download, and context retention. Ideal for learning and building LLM apps like assistants or support bots. Deployable on Streamlit Cloud.

This repo provides a RAG system using LangChain, Streamlit, and a VectorDB. Users can upload documents and ask questions answered by an LLM. It showcases AI integration, secure API key use, and an end-to-end workflow for building intelligent document-aware app

About A starter template for building Next.js applications with Supabase for authentication, TypeScript, and Tailwind CSS. Includes branches for creating Langchain and LLM chat interfaces and integrating Stripe subscription payments, making it ideal for setting up modern, scalable web apps with robust auth, AI-driven features, and payment processin