CSV Reader

The CSV Reader processes local CSV files and converts them into documents that can be used with Agno’s knowledge system.

Code

examples/concepts/knowledge/readers/csv_reader.py

from pathlib import Path

from agno.knowledge.reader.csv_reader import CSVReader

reader = CSVReader()

csv_path = Path("tmp/test.csv")

try:
    print("Starting read...")
    documents = reader.read(csv_path)

    if documents:
        for doc in documents:
            print(doc.name)
            # print(doc.content)
            print(f"Content length: {len(doc.content)}")
            print("-" * 80)
    else:
        print("No documents were returned")

except Exception as e:
    print(f"Error type: {type(e)}")
    print(f"Error occurred: {str(e)}")

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U pandas agno
   
3. Run Agent

   Mac

   python examples/concepts/knowledge/readers/csv_reader.py
   

Params

Parameter	Type	Default	Description
file	Union[Path, IO[Any]]	Required	Path to CSV file or file-like object
delimiter	str	","	Character used to separate fields in the CSV
quotechar	str	'"'	Character used to quote fields in the CSV