The PDF Reader with asynchronous processing allows you to handle PDF files efficiently and integrate them with knowledge bases.

​
Code

examples/concepts/knowledge/readers/pdf_reader_async.py
import asyncio

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

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

# Create a knowledge base with the PDFs from the data/pdfs directory
knowledge = Knowledge(
    vector_db=PgVector(
        table_name="pdf_documents",
        db_url=db_url,
    )
)

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

if __name__ == "__main__":
    asyncio.run(
        knowledge.add_content_async(
            path="cookbook/knowledge/testing_resources/cv_1.pdf",
        )
    )
    # Create and use the agent
    asyncio.run(
        agent.aprint_response(
            "What skills does an applicant require to apply for the Software Engineer position?",
            markdown=True,
        )
    )

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U pypdf sqlalchemy psycopg pgvector agno openai
3

Set environment variables

export OPENAI_API_KEY=xxx
4

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  agno/pgvector:16
5

Run Agent

python examples/concepts/knowledge/readers/pdf_reader_async.py

​
Params

ParameterTypeDefaultDescription
pathPathRequiredPath to PDF file or URL
split_on_pagesboolTrueSplit the PDF into pages
page_start_numbering_formatOptional[str]NoneFormat for page numbering
page_end_numbering_formatOptional[str]NoneFormat for page numbering
passwordOptional[str]NonePassword to unlock the PDF