🏛️ Agba Engine (agba-engine)
Version: 5.0.9
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
pip install agba-engine==5.0.9
🚀 Quickstart & Usage Examples
Example 1: Diacritic-Preserving Text Indexing
Standard LLM tokenizers flatten tonal marks. Agba Engine maintains parallel canonical and ASCII representation vectors.
from agba_engine.core.engine import AgbaSearchEngine
engine = AgbaSearchEngine() query_text = "Fìlà Gọbi" results = engine.search_by_text(query_text, top_k=3)
for res in results: print(f"ID: {res['id']} | Score: {res['score']:.4f}")
Example 2: Cross-Modal Visual Retrieval
Perform similarity search across physical heritage artifacts using vision feature tensors.
import torch from agba_engine.core.engine import AgbaSearchEngine
engine = AgbaSearchEngine() image_tensor = torch.randn(1, 512) matches = engine.search_by_vision(image_tensor, top_k=3)
print(f"Top Match: {matches[0]['id']} ({matches[0]['category']})")
Example 3: Normalizing & Sanitizing Cultural Labels
Process raw dataset strings into clean, user-facing native orthography.
from agba_engine.utils.sanitizer import sanitize_cultural_label
raw_identifier = "Fìlà_Gọbi_02_Spoken" clean_label = sanitize_cultural_label(raw_identifier) print(clean_label) # Output: "Fìlà Gọbi"
🛠️ API Reference & Key Functions
| Method / Property | Return Type | Description |
|---|---|---|
AgbaSearchEngine() |
Object |
Initializes core engine & fetches remote weights if missing locally. |
.search_by_text(query, top_k=5) |
List[Dict] |
Executes text retrieval across canonical tonal scripts and ASCII fallbacks. |
.search_by_vision(tensor, top_k=5) |
List[Dict] |
Queries the visual vector space using a 512-dim image embedding. |
.version |
str |
Returns active engine build version (5.0.9). |
.ethical_license |
str |
Returns active governance framework parameters. |
🌐 Enterprise & Quad-Vector Audio Alignment
The open-source core provides tri-vector functionality (Canonical Text, ASCII, and Vision).
For high-density Quad-Vector Audio Integration (including Gangan pitch-contour mapping and spoken native vocalization models for archives and museums), visit our Hugging Face Space or contact the author.
1 maintainer
Metadata
1 maintainer
Release files for agba-engine 5.0.9.post1
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