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

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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)}")

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U pandas agno
3

Run Agent

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

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Params

ParameterTypeDefaultDescription
fileUnion[Path, IO[Any]]RequiredPath to CSV file or file-like object
delimiterstr","Character used to separate fields in the CSV
quotecharstr'"'Character used to quote fields in the CSV