Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
"""Run `uv pip install 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.insert( 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)
Set up your virtual environment
uv venv --python 3.12 source .venv/bin/activate
Set your API key
export OPENAI_API_KEY=xxx
Install dependencies
uv pip install -U openai agno
Run Agent
python cookbook/11_models/openai/responses/knowledge.py
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