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

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 🎞 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. https://www.datastax.com/lp/astra-registration?utm_medium=youtube_video&utm_source=datastax&utm_campaign=yt_influencers&utm_content=vector_search_tim_ruscica 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