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"""Run `uv pip install ddgs sqlalchemy pgvector pypdf cerebras_cloud_sdk` to install dependencies."""
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.nebius import Nebius
from agno.vectordb.pgvector import PgVector
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
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=Nebius(id="Qwen/Qwen3-30B-A3B"), knowledge=knowledge)
agent.print_response("How to make Thai curry?", markdown=True)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Run the Example
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# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/nebius
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
# Optiona: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh
python knowledge.py