CSV URL Reader

The CSV URL Reader processes CSV files directly from URLs, allowing you to create knowledge bases from remote CSV data sources.

Code

examples/concepts/knowledge/readers/csv_reader_url_async.py

import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

knowledge = Knowledge(
    # Table name: ai.csv_documents
    vector_db=PgVector(
        table_name="csv_documents",
        db_url=db_url,
    ),
)

# Initialize the Agent with the knowledge
agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

if __name__ == "__main__":
    # Comment out after first run
    asyncio.run(
        knowledge.add_content_async(
            url="https://agno-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv"
        )
    )

    # Create and use the agent
    asyncio.run(
        agent.aprint_response("What genre of movies are present here?", markdown=True)
    )

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 requests sqlalchemy psycopg pgvector agno
   
3. Run PgVector

   docker run -d \
     -e POSTGRES_DB=ai \
     -e POSTGRES_USER=ai \
     -e POSTGRES_PASSWORD=ai \
     -e PGDATA=/var/lib/postgresql/data/pgdata \
     -v pgvolume:/var/lib/postgresql/data \
     -p 5532:5432 \
     --name pgvector \
     agno/pgvector:16
   
4. Run Agent

   Mac

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

Params

Parameter	Type	Default	Description
url	str	Required	URL pointing to a CSV file to download and read