3 boosters for "langchain" — AI-graded, open source, ready to install
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
A specialized Formula 1 racing chat application built with Next.js, React, and Tailwind CSS. This project uses Retrieval Augmented Generation to provide accurate, context-aware responses.
Copilot instructions for an AI-powered student Q&A assistant that uses LangChain and RAG to answer questions based on uploaded course materials. Ideal for educators implementing AI tutoring tools and students seeking supplementary learning support.
