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.
This is the first article in a long series of articles in which we will cover the basics of LangCain that you need to build effective LLM applications. In the coming article, we will cover how to split documents and store them in a vector database.
Table of Contents:
Introduction to Document Loaders & Importing Libraries
Loading PDFs
Loading CSV Files
Loading Microsoft Excel Files (xls & xlsx)
Loading Microsoft Word Files (doc / docx)
Loading YouTube Videos into Text
Loading HTML Pages
Loading Notion Database
Practical Tip for Loading Files