RAG System Implemented with AI Agent (w. LangGraph)
Intelligent AI agent for search augmented generation (RAG) implemented with LangGraph! A hands-on tutorial that even beginners can easily follow, from theory to practice.
초급
AI Agent, LangGraph, RAG
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
This course covers the basic concepts and implementation of RAG (Retrieval-Augmented Generation) systems using LangChain. Participants will learn to understand the core principles of RAG and how to build and evaluate the system in practice using LangChain.
초급
RAG, LangChain, LLM
LLM Data Analytics - From Web Crawling to Recommendation Systems
This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.
초급
LLM, LangChain, Web Crawling
Python Basics for Beginners
This is a basic Python course for non-major beginners. Practice materials are provided through Github.
입문
Python
Python Chatbot & RAG Learning through Projects - Using LangChain, Gradio
Use Python's basic grammar and libraries to create your own AI chatbot. Learn how to implement five projects, including RAG based on PDF documents, and deploy them as web services.
초급
RAG, LangChain, LLM
LangChain Basics for Beginners
Learn the basic concepts and usage of LangChain using Python. The practice will be conducted mainly in the Google Colab environment, and the practice materials will be provided through Github.
초급
LangChain, LLM, openAI API