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"
vector_db = PgVector(table_name="recipes", db_url=db_url)
knowledge_base = Knowledge(
vector_db=vector_db,
)
agent = Agent(knowledge=knowledge_base)
if __name__ == "__main__":
asyncio.run(
knowledge_base.add_content_async(url="https://docs.agno.com/introduction/agents.md")
)
asyncio.run(
agent.aprint_response("What is the purpose of an Agno Agent?", markdown=True)
)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U psycopg2-binary pgvector pypdf openai agno
Set environment variables
export OPENAI_API_KEY=xxx
Run Agent
python cookbook/knowledge/vector_db/pgvector/async_pg_vector.py