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import asyncio

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.docling_reader import DoclingReader
from agno.vectordb.pgvector import PgVector

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

# Create a knowledge base with docling reader
knowledge = Knowledge(
    vector_db=PgVector(
        table_name="docling_documents",
        db_url=db_url,
    )
)

# Create an agent with the knowledge base
agent = Agent(
    knowledge=knowledge,
    search_knowledge=True,
)


async def main():
    await knowledge.ainsert(
        path="cookbook/07_knowledge/testing_resources/research_paper.tex",
        reader=DoclingReader(output_format="text"),
    )

    await agent.aprint_response(
        "What are the key findings of the Advanced Machine Learning Techniques for Natural Language Processing paper?",
        markdown=True,
    )


if __name__ == "__main__":
    asyncio.run(main())

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/05_integrations/readers

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

# Optional: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh

python docling_reader_async.py