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The PPTX Reader allows you to read and extract text content from PowerPoint (.pptx) files, converting them into vector embeddings for your knowledge base.

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Code

pptx_reader.py
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.pptx_reader import PPTXReader
from agno.vectordb.pgvector import PgVector

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

# Create a knowledge base with the PPTX documents
knowledge = Knowledge(
    # Table name: ai.pptx_documents
    vector_db=PgVector(
        table_name="pptx_documents",
        db_url=db_url,
    ),
)
# Load the knowledge
knowledge.add_content(
    path="data/pptx_files",
    reader=PPTXReader(),
)

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

# Ask the agent about the knowledge
agent.print_response("What can you tell me about the content in these PowerPoint presentations?", markdown=True)

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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 python-pptx sqlalchemy psycopg pgvector agno
3

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
4

Run Agent

python pptx_reader.py

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Params

ParameterTypeDefaultDescription
fileUnion[Path, IO[Any]]RequiredPath to PPTX file or file-like object containing a PowerPoint presentation
nameOptional[str]NoneOptional name for the document
chunkboolTrueWhether to chunk the document
chunk_sizeint5000Size of chunks when chunking is enabled
chunking_strategyOptional[ChunkingStrategy]DocumentChunking()Strategy for chunking the document
encodingOptional[str]NoneText encoding to use for reading