poma 0.3.5

Official Python SDK for the Poma document-processing API

📚 POMA: Preserving Optimal Markdown Architecture

🚀Quick-Start Guide

Installation

Requires Python 3.10+. Install the core packages:

pip install poma

For different integrations:

pip install 'poma[langchain]'
pip install 'poma[llamaindex]'
pip install 'poma[qdrant]'

# Or LangChain/LlamaIndex/Qdrant including example extras:
pip install 'poma[all]'

• You may also want: pip install python-dotenv to load API keys from a .env file.
• API keys required (POMA_API_KEY) for the POMA AI client via environment variables.
• To request a POMA_API_KEY, please contact us at [e-mail]

Example Implementations — all examples, integrations, and additional information can be found in our GitHub repository: poma-ai/poma

We provide example implementations to help you get started with POMA AI:

• example.py — A standalone implementation for documents, showing the basic POMA AI workflow with simple keyword-based retrieval
• example_langchain.py — Integration with LangChain, demonstrating how easy it is to use POMA AI with LangChain
• example_llamaindex.py — Integration with LlamaIndex, showing how simple it is to use POMA AI with LlamaIndex

Note: The integration examples use OpenAI embeddings. Make sure to set your OPENAI_API_KEY environment variable, or replace the embeddings with your preferred ones.

All examples follow the same two-phase process (ingest → retrieve) but demonstrate different integration options for your RAG pipeline.

! Please do NOT send any sensitive and/or personal information to POMA AI endpoints without having a signed contract & DPA !