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import asyncio
from pathlib import Path

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector.pgvector import PgVector

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


knowledge = Knowledge(
    vector_db=PgVector(
        table_name="markdown_documents",
        db_url=db_url,
    ),
    max_results=5,  # Number of results to return on search
)

agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)

if __name__ == "__main__":
    asyncio.run(
        knowledge.ainsert(
            path=Path("README.md"),
        )
    )

    asyncio.run(
        agent.aprint_response(
            "What can you tell me about Agno?",
            markdown=True,
        )
    )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/readers

# 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 markdown_reader_async.py