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A powerful library for AI-powered search and data processing

Project description

llamapublisher

Overview

llamapublisher is a powerful library for the LlamaSearch AI ecosystem. It provides developers with robust tools for working with AI-powered search and data processing.

Features

  • High-performance data processing
  • Seamless integration with other Llama libraries
  • Comprehensive API for AI-powered search
  • Scalable architecture for enterprise applications
  • MLX support for optimized performance on Apple Silicon
  • Extensive customization options

Installation

Prerequisites

  • Python 3.8+
  • pip

Install from PyPI

pip install llamapublisher

Install from source

git clone https://github.com/llamasearchai/llamapublisher.git
cd llamapublisher
pip install -e .

Quick Start

import llamapublisher

# Initialize the client
client = llamapublisher.Client()

# Process data
results = client.process("Your query here")
print(results)

Documentation

For full documentation, visit our documentation site.

Examples

See the examples/ directory for more usage examples.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for details.

License

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

Related Projects

Roadmap

  • Advanced integration with vector databases
  • Enhanced MLX support
  • Additional language models
  • Improved documentation and examples
  • Performance optimizations

Community

Join our community on Discord

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