Learn Python Chatbot & RAG through Projects - Using LangChain, Gradio

Operating System and Version (OS): Lectures conducted based on Windows (Linux and MacOS users can also participate in hands-on practice)

Tools used: VS Code, OpenAI API authentication key required (separate costs may apply)

PC Specifications: Not applicable

Practice Code: Updated for the latest LangChain version (1.0.2) as of October 2025(Please note that there may be some differences from the code shown in the lecture videos)

Providing materials needed for practice (text, source code)

Reference materials provided on WikiDocs: https://wikidocs.net/book/14473

Those with basic Python knowledge (those capable of basic programming)

If you have any questions or opinions, please feel free to ask.

RAG Master: From Basics to Advanced Techniques (feat. LangChain)

RAG Implementation to Performance Evaluation -

Complete Practical AI Development in 9 Hours

• LangChain-based RAG System Implementation Practice

• Advanced RAG Techniques Learning

• RAG System Performance Evaluation Methodology

• LangChain's Latest LCEL Syntax and Runnable Usage

  
  

Link: https://inf.run/CxVA3

LLM Data Analysis - From Web Crawling to Recommendation Systems

Upgrading with LangChain and LLM

Web Crawling & Data Analysis

• Web Crawling/Scraping for Data Collection

• Using LangChain Tools and LLM for Data Collection, Processing, and Analysis

• LLM-based predictive analysis (sentiment analysis, summarization, product recommendations, etc.)

Link: https://inf.run/JrSKR

RAG System Implementation with AI Agents (w. LangGraph)

Building Intelligent AI Agents with Retrieval-Augmented Generation (RAG) using LangGraph

• AI Agent Architecture Design and Implementation Using LangGraph

• Applying AI Agents to RAG (Retrieval-Augmented Generation)

• Expanding AI Agent Capabilities by Implementing Tool Calling Functionality

• Master the latest agent RAG architectures including Adaptive RAG, Self RAG, Corrective RAG, and more

Link: https://inf.run/tkfVa