How to Query Any YouTube Video Using LangChain

#python #langchain #youtube #ProgrammingTutorial #openai #embedding #llms In this tutorial, we dive into an exciting project where we build a tool that can help you query specific YouTube videos to find the information you're looking for. Ever lost hours trying to find that one piece of information you saw in some video a while ago? This tool we're building is the solution! We'll be using Python, VS Code, and a few key libraries like openai, langchain, argparse, and chromadb. The goal is to build a tool that takes a YouTube video URL as input, extracts the YouTube ID, loads the video's transcript, and then vectorizes the information. Once the information is vectorized, we can start querying it with specific questions. 📚 Chapters - 00:00 Introduction - 00:19 Outline of the tool we're going to build - 00:33 Setting up the programming environment on VS Code - 00:37 Importing necessary libraries - 01:00 Loading YouTube videos using LangChain - 01:28 Setting up functions to extract YouTube ID, load and vectorize the video information - 02:40 Creating the main function to run our app - 03:03 Parsing arguments and setting up the interactive querying system - 05:27 Creating a loop to ask multiple questions - 06:58 Considering a "save" option for future improvements - 07:22 Extracting the YouTube ID from a video URL - 09:31 Loading and vectorizing the YouTube video information - 10:44 Setting up the function to query the vectorized index - 11:07 Testing our tool and wrapping up the tutorial 🔗 Links: Medium Article with source code: https://medium.com/@lucas-soares/vectorizing-and-qu-923d66739fb Subscribe!: https://www.youtube.com/channel/UCu8WF59Scx9f3H1N_FgZUwQ Join Medium: https://lucas-soares.medium.com/membership Tiktok: https://www.tiktok.com/@enkrateialucca?lang=en Twitter: https://twitter.com/LucasEnkrateia LinkedIn: https://www.linkedin.com/in/lucas-soares-969044167/