6 Langchain Document Loaders to Master (Beginner Friendly)

🧠 Don’t miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, Machine Learning, and AI Automations! 📈 https://www.skool.com/data-and-ai-automations-4579 In this video we are covering 6 different langchain document loaders. They range from text documents to pdfs to html code. Doc readers are a very important step when creating more complex LLMs that utilize RAG. 🚀 Hire me for Data Work: https://ryanandmattdatascience.com/data-freelancing/ 👨‍💻 Mentorships: https://ryanandmattdatascience.com/mentorship/ 📧 Email: [email protected] 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord: https://discord.com/invite/F7dxbvHUhg 📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan 📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg 🍿 WATCH NEXT OpenAI/Langchain Playlist: https://www.youtube.com/watch?v=5qP6u-WGSPk&list=PLcQVY5V2UY4Kat6vxC7ESzIIzHWdwlnak&ab_channel=RyanNolanData Langchain Chains: https://www.youtube.com/watch?v=gQnJEjiaHFw&ab_channel=RyanNolanData FAISS Vector Library: https://www.youtube.com/watch?v=ZCSsIkyCZk4&ab_channel=RyanNolanData Build Your First AI LLM: https://www.youtube.com/watch?v=5qP6u-WGSPk&ab_channel=RyanNolanData In this video, I break down document loaders in LangChain and show you how to load different file types into your AI applications. A document is simply a piece of text with associated metadata, like a text file, CSV, YouTube video, web page, or PDF. I walk through practical examples using Python and Google Colab to demonstrate exactly how to load each type of document into your large language models. We start with basic text files and CSVs, then move into more complex formats like HTML pages, PDFs, and even YouTube videos with transcript extraction. I also cover the directory loader, which lets you import multiple files at once, and explain important parameters like custom delimiters, field names, and source columns. Throughout the video, I use real examples including song lyrics, ultra marathon race results, and sports card magazines to show you exactly how these loaders work in practice. By the end of this tutorial, you'll understand how to use document loaders from the LangChain community library and be able to confidently load any file format you need for your AI projects. Whether you're building a chatbot, creating a retrieval system, or working with AI agents, mastering document loaders is an essential foundational skill. TIMESTAMPS 00:00 What is a Document? 00:52 Installing Required Packages 01:46 Loading Text Documents 02:58 Uploading Files to Google Colab 04:04 Loading CSV Documents 06:12 CSV Loader Parameters 09:17 Directory Loader 12:23 YouTube Video Loader 15:05 HTML Document Loader 17:45 Loading PDF Documents 20:22 Recap & Conclusion OTHER SOCIALS: Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/ Twitter/X: https://x.com/RyanMattDS Who is Ryan Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF. Who is Matt Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One. *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.