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

Operating System and Version (OS): Lecture will be based on Windows (Linux and MacOS users can also practice)

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

PC Specs: Not applicable

Providing materials needed for practice (text, source code)

Reference material provided by Wikidocs: https://wikidocs.net/book/14473

People with basic knowledge of Python (those who can do basic programming)

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

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

From RAG implementation to performance evaluation -

Practical AI Development Completed in 9 Hours

• LangChain-based RAG system construction practice

• Learn advanced RAG techniques

• RAG System Performance Evaluation Methodology

• LangChain's latest LCEL grammar and how to use Runnable

  
  

Link: https://inf.run/mdYe4

LLM Data Analytics - From Web Crawling to Recommendation Systems

Upgrading to LangChain and LLM

Web Crawling & Data Analysis

• Data collection using web crawling/scraping

• Data collection, cleaning, and analysis using LangChain tools and LLM

• Predictive analytics using LLM (sentiment analysis, summarization, product recommendations, etc.)

Link: https://inf.run/QYw3Q

RAG system implemented with AI agent (w. LangGraph)

Intelligent AI agent for augmented search generation (RAG) implemented with LangGraph

• Design and implementation of AI agent structure using LangGraph

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

• Expanding the capabilities of AI agents by implementing Tool Calling functionality

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

Link: https://inf.run/hTwjC