Metadata-Version: 2.4
Name: agba-engine
Version: 5.1.5
Summary: Multi-Modal, Diacritic-Preserving Cultural Heritage Retrieval Framework
Author-email: Aruna Olanrewaju Kabiru <only1mooseylion@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/AgbaVLMengine/Agba-Engine
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: torch>=2.0.0
Requires-Dist: transformers
Requires-Dist: huggingface-hub
Requires-Dist: pillow
Requires-Dist: numpy

# 🏛️ Agba Engine (`agba-engine`)

**Version:** 5.1.5  
**Author & Lead Architect:** Aruna Olanrewaju Kabiru  
**License:** `RAIL-Cultural-Heritage-v1.0` (Prohibits unauthorized commodification & identity distortion)

`agba-engine` is a multi-modal, diacritic-preserving retrieval framework designed for indexing global heritage assets, indigenous scripts, and tonal orthographies without semantic stripping.

---

## 📦 Installation

```bash
pip install agba-engine==5.1.5
```

---

## 🚀 Quickstart & Usage Examples

### Example 1: Diacritic-Preserving Text Indexing
```python
from agba_engine.core.engine import AgbaSearchEngine

engine = AgbaSearchEngine()
query_text = 'Fìlà Gọ̀bị́'
results = engine.search_by_text(query_text, top_k=3)
print(results[0])
```

### Example 2: Zero-Shot Visual Retrieval
```python
from PIL import Image
from agba_engine.core.engine import AgbaSearchEngine

engine = AgbaSearchEngine()
image_input = Image.open('sample_artifact.jpg')
matches = engine.search_by_vision(image_input, top_k=3)
print(matches[0])
```
