Documentation Index
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import asyncio
from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
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,
),
contents_db=PostgresDb(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.ainsert(
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)
)
Run the Example
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/readers
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
# Optiona: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh
python csv_reader_url_async.py