PDF Reader

The PDF Reader processes PDF files synchronously and converts them into documents that can be used with Agno’s knowledge system.

Code

pdf_reader.py

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.pdf_reader import PDFReader
from agno.vectordb.pgvector import PgVector

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

# Create a knowledge base with PDF documents
knowledge = Knowledge(
    vector_db=PgVector(
        table_name="pdf_documents",
        db_url=db_url,
    )
)

# Add PDF content synchronously
knowledge.insert(
    path="cookbook/07_knowledge/testing_resources/cv_1.pdf",
    reader=PDFReader(),
)

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

# Query the knowledge base
agent.print_response(
    "What skills does an applicant require to apply for the Software Engineer position?",
    markdown=True,
)

Usage

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

uv venv --python 3.12
.venv\Scripts\activate

Install dependencies

uv pip install -U pypdf sqlalchemy psycopg pgvector agno openai

Set environment variables

export OPENAI_API_KEY=xxx

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Run Agent

python pdf_reader.py

python pdf_reader.py

Params

Parameter	Type	Default	Description
`split_on_pages`	`bool`	`True`	Create one document per page instead of one document for the whole file
`page_start_numbering_format`	`Optional[str]`	`"<start page {page_nr}>"`	Marker inserted at the start of each page. Set to an empty string to remove
`page_end_numbering_format`	`Optional[str]`	`"<end page {page_nr}>"`	Marker inserted at the end of each page. Set to an empty string to remove
`password`	`Optional[str]`	`None`	Password to unlock encrypted PDFs
`sanitize_content`	`bool`	`True`	Join fragmented lines from PDF text extraction into flowing text. Disable to preserve whitespace-sensitive content like code blocks or tables
`chunking_strategy`	`Optional[ChunkingStrategy]`	`DocumentChunking()`	Strategy used to chunk documents

PDFReader also accepts the base Reader constructor parameters.

Get Started

Basics

Advanced

Production

Providers

Other

Additional Resources

Code

Usage

Params

​Code

​Usage

​Params

Code

Usage

Params