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Code

cookbook/knowledge/vector_db/pgvector/async_pg_vector.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"

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)
    )

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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 psycopg2-binary pgvector pypdf openai agno
3

Set environment variables

export OPENAI_API_KEY=xxx
4

Run Agent

python cookbook/knowledge/vector_db/pgvector/async_pg_vector.py