LLM Document Analysis

A Python library for LLM-powered document analysis and processing. This library provides a flexible and extensible framework for analyzing documents using Large Language Models.

Features

• Document processing for various formats (PDF, Text, etc.)
• Integration with popular LLM providers
• Extensible processor architecture
• Built-in logging and error handling
• Async support for better performance

Installation

You can install the package directly from PyPI:

pip install llm-document-analysis

For development installation with additional tools:

pip install llm-document-analysis[dev]

Quick Start

from llm_document_analysis import DocumentAnalyzer
from llm_document_analysis.processors import PDFProcessor

# Initialize the analyzer
analyzer = DocumentAnalyzer()

# Process a PDF document
processor = PDFProcessor("path/to/document.pdf")
result = analyzer.analyze(processor)

# Access the analysis results
print(result.summary)
print(result.key_points)

Development

1. Clone the repository:

git clone https://github.com/Venere-Labs/llm-document-analysis.git
cd llm-document-analysis

2. Create a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install development dependencies:

pip install -e ".[dev]"

4. Run tests:

pytest

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any problems or have questions, please open an issue on GitHub.