Agent with Knowledge

from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowledge import Knowledge
from agno.models.anthropic import Claude
from agno.vectordb.pgvector import PgVector

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


def main() -> None:
    knowledge = Knowledge(
        vector_db=PgVector(
            table_name="anthropic_recipes",
            db_url=db_url,
            embedder=OpenAIEmbedder(id="text-embedding-3-small"),
        ),
    )

    agent = Agent(
        model=Claude(id="claude-sonnet-4-6"),
        knowledge=knowledge,
    )

    knowledge.insert(
        url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf",
        skip_if_exists=True,
    )
    agent.print_response("How do I make Thai curry?", markdown=True)


if __name__ == "__main__":
    main()