Code
examples/basics/knowledge/concepts/readers/overview/csv_reader.py
Usage
1
Set up your virtual environment
2
Install dependencies
3
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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)}")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U pandas agno
Run Agent
python examples/basics/knowledge/concepts/readers/overview/csv_reader.py
python examples/basics/knowledge/concepts/readers/overview/csv_reader.py
| 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 |