In this video, I'll be showing you how to build your own custom AI agent within Python using Retrieval Augmented Generation (RAG) and LangChain. Even if you're an intermediate Python user, this tutorial will be easy to follow as I demonstrate how to query information and then make an AI agent that acts as a coding or Github assistant in less than an hour.

If you want to land a developer job check out my program with CourseCareers: https://techwithtim.net/dev

🎞 Video Resources 🎞
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OpenAI API Key: https://platform.openai.com/api-keys
Finished Code:  https://github.com/techwithtim/GitHub-AI-Assitant-Agent
GitHub URL: https://github.com/techwithtim/Flask-Web-App-Tutorial/issues

⏳ Timestamps ⏳
00:00 | Overview
00:32 | Demo
03:04 | Installation/Setup
06:13 | API Keys/Tokens
08:37 | Astra DB Database Setup
11:50 | OpenAI API Key
12:52 | Fetching GitHub Issues
22:43 | Connecting to a Vector Store Database (RAG) 
29:15 | Adding Documents to The Vector Store
36:25 | Writing the Agent
43:06 | Creating a Note Tool
45:41 | Running The Agent

Hashtags
#techwithtim #pythonai #langchain #github #codingtutorial

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

Tech With Tim

Learn how to build a custom AI agent using Lang chain and retrieval augmented generation. Query information about GitHub repositories and create a coding or GitHub assistant. Utilize tools like GitHub Vector search database to store and retrieve issues. Build an AI agent that can summarize and respond to different issues.

Python AI Agent Tutorial - Build a Coding Assistant w/ RAG & LangChain