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:
🎞 Video Resources 🎞
Sign up for Astra vector database today. Use your business email address and get from $1000- $3000 in free credits and consulting with your subscription.
OpenAI API Key:
Finished Code:
GitHub URL:
⏳ 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
|
How to Install DBeaver on Ubuntu 24.04 L...
DevLaunch is my mentorship program where...
How to Install Jenkins on Ubuntu (Linux)...
DevLaunch is my mentorship program where...
When you're negotiating your salary for ...
What are recent advances in the field of...
Today Quincy Larson interviews Kunal Kus...
Arrow functions don't have their own 'th...