Hands-On LangChain for LLM Applications Development: Documents Loading

Author(s): Youssef Hosni

Originally published on Towards AI.

In order to create an application where you can chat with your data, you first have to load your data into a format where it can be worked with. That’s where LangChain document loaders come into play.

LangChain has over 80 different types of document loaders, and in this article, we’ll cover a few of the most important ones and get you comfortable with the concept in general. We will end the article with a practical tip that you can use to use them in an efficient way for your Large Language Model (LLM) applications.

Introduction to Document Loaders & Importing LibrariesLoading PDFsLoading CSV FilesLoading Microsoft Excel Files (xls & xlsx)Loading Microsoft Word Files (doc / docx)Loading YouTube Videos into TextLoading HTML PagesLoading Notion DatabasePractical Tip for Loading Files

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

U+1F3DDSubscribe belowU+1F3DD to become an AI leader among your peers and receive content not present in any other platform, including Medium:

Data… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI