Code

cookbook/models/openai/responses/knowledge.py
"""Run `pip install ddgs sqlalchemy pgvector pypdf openai` to install dependencies."""

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIResponses
from agno.vectordb.pgvector import PgVector

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

knowledge = Knowledge(
    vector_db=PgVector(table_name="recipes", db_url=db_url),
)
# Add content to the knowledge
knowledge.add_content(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
)

agent = Agent(model=OpenAIResponses(id="gpt-5-mini"), knowledge=knowledge)
agent.print_response("How to make Thai curry?", markdown=True)

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U openai agno
4

Run Agent

python cookbook/models/openai/responses/knowledge.py