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LangChainframework~15 mins

Directory loader for bulk documents in LangChain - Mini Project: Build & Apply

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Directory loader for bulk documents
📖 Scenario: You are building a simple tool to load many text documents from a folder all at once. This helps you quickly gather all your notes or files for processing.
🎯 Goal: Create a Python script using langchain that loads all text files from a directory using DirectoryLoader.
📋 What You'll Learn
Create a variable folder_path with the exact string "./documents"
Create a DirectoryLoader instance called loader using folder_path and the TextLoader class
Use the loader.load() method to load all documents into a variable called documents
Add a line to print the number of documents loaded using len(documents)
💡 Why This Matters
🌍 Real World
Loading many documents at once is useful for building search engines, chatbots, or data analysis tools that work with large text collections.
💼 Career
Understanding how to bulk load documents is important for roles in data science, machine learning, and software development involving text processing.
Progress0 / 4 steps
1
Set the folder path
Create a variable called folder_path and set it to the string "./documents".
LangChain
Need a hint?

Use quotes around the folder path string exactly as shown.

2
Create the DirectoryLoader instance
Import DirectoryLoader and TextLoader from langchain.document_loaders. Then create a variable called loader that is a DirectoryLoader using folder_path and TextLoader as the loader class.
LangChain
Need a hint?

Use loader_cls=TextLoader as the argument to specify the loader class.

3
Load documents from the directory
Use the load() method on loader to load all documents and save them in a variable called documents.
LangChain
Need a hint?

Call loader.load() and assign the result to documents.

4
Print the number of loaded documents
Add a line to print the number of documents loaded by printing len(documents).
LangChain
Need a hint?

Use print(len(documents)) to show how many documents were loaded.