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
Metadata
Release files for llamapublisher 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llamapublisher-0.1.0.tar.gz | 5.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llamapublisher-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / llamapublisher-0.1.0.tar.gz
| Download URL | llamapublisher-0.1.0.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Release files / llamapublisher-0.1.0-py3-none-any.whl
| Download URL | llamapublisher-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|