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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llamapublisher-0.1.0.tar.gz.
File metadata
- Download URL: llamapublisher-0.1.0.tar.gz
- Upload date:
- Size: 5.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5845b8073cb1f911b158a8dd14ff4d885fa26246d049839e740b9b49e087d6e8
|
|
| MD5 |
1eb6ad9565d3ca48952675c1ad2cfa60
|
|
| BLAKE2b-256 |
5f84209509c01ddd6004747ee355d04fc07ee45367175b7091894c1454c62dd6
|
File details
Details for the file llamapublisher-0.1.0-py3-none-any.whl.
File metadata
- Download URL: llamapublisher-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
06802de9f3f66977ce547b2baffdb4ba1c6974e346097dca097ba4e5d26cc802
|
|
| MD5 |
3b3cfab8981d95ba4c621281cb555f2e
|
|
| BLAKE2b-256 |
d80572e7a5db330421a8c6ec8fe800c8b1d345572cf3ebd79393a0bddf617270
|