Local profile and extension catalog export for AI lab tooling
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Project description
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
pip install catalogai
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
from catalogai import Catalog
catalog = Catalog()
Supported Content
- Documents
- Product catalogs
- Knowledge bases
- Digital assets
- Research collections
- Internal documentation
Why CatalogAI?
Traditional keyword search often fails to capture meaning.
CatalogAI focuses on semantic understanding to improve search quality and content organization.
Roadmap
- Vector database integrations
- Hybrid search
- AI tagging
- Recommendation engine
Contributing
Pull requests are welcome.
License
MIT
Release history Release notifications | RSS feed
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