mirror of
https://github.com/run-llama/llama-hub.git
synced 2025-08-13 11:11:48 +00:00
Paged CSV Loader
This loader extracts the text from a local .csv file by formatting each row in an LLM-friendly way and inserting it into a separate Document. A single local file is passed in each time you call load_data
. For example, a Document might look like:
First Name: Bruce
Last Name: Wayne
Age: 28
Occupation: Unknown
Usage
To use this loader, you need to pass in a Path
to a local file.
from pathlib import Path
from llama_index import download_loader
PagedCSVReader = download_loader("PagedCSVReader")
loader = PagedCSVReader()
documents = loader.load_data(file=Path('./transactions.csv'))
This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.