Metadata-Version: 2.4
Name: catalogai
Version: 0.1.2
Summary: Local profile and extension catalog export for AI lab tooling
License-Expression: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Microsoft :: Windows :: Windows 7
Classifier: Operating System :: Microsoft :: Windows :: Windows 8
Classifier: Operating System :: Microsoft :: Windows :: Windows 8.1
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <3.14,>=3.7
Description-Content-Type: text/markdown
Requires-Dist: cognikit>=0.1.2

# CatalogAI

> AI-powered cataloging and semantic organization.

CatalogAI helps applications organize, enrich, and search collections of structured and unstructured data using modern AI techniques.

It can be used to improve discoverability across documents, products, knowledge bases, media libraries, and other searchable content.

---

## Features

- Semantic search
- Metadata generation
- Intelligent categorization
- Content indexing
- Similarity matching
- Recommendation support

---

## Installation

```bash
pip install catalogai
```

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## Requirements

- Python 3.7+ (3.7-3.8 on Windows 7/8; 3.7-3.13 on Windows 10/11)
- Windows 7 / 8 / 8.1 / 10 / 11

---

## Quick Start

```python
from catalogai import Catalog

catalog = Catalog()
```

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## Supported Content

- Documents
- Product catalogs
- Knowledge bases
- Digital assets
- Research collections
- Internal documentation

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## Why CatalogAI?

Traditional keyword search often fails to capture meaning.

CatalogAI focuses on semantic understanding to improve search quality and content organization.

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## Roadmap

- Vector database integrations
- Hybrid search
- AI tagging
- Recommendation engine

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## Contributing

Pull requests are welcome.

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## License

MIT
