Agent with Knowledge

Give a CerebrasOpenAI agent knowledge from a PDF stored in PgVector.

Code

knowledge.py

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.cerebras import CerebrasOpenAI
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=CerebrasOpenAI(id="gpt-oss-120b"), knowledge=knowledge
)
agent.print_response("How to make Thai curry?", markdown=True)

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Set your API key

   export CEREBRAS_API_KEY=xxx
   
3. Install dependencies

   uv pip install -U openai cerebras-cloud-sdk sqlalchemy psycopg pgvector pypdf agno
   
4. Run Agent

   Save the code above as knowledge.py, then run:

   python knowledge.py