🏛️ Agba Engine (agba-engine)
Version: 5.1.7
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==5.1.7
🚀 Quickstart & Usage Examples
Example 1: Diacritic-Preserving Text Indexing with Rich Metadata
Standard LLM tokenizers flatten tonal marks. Agba Engine maintains parallel canonical and ASCII representation vectors alongside Rich Cultural descriptions.
from agba_engine.core.engine import AgbaSearchEngine
engine = AgbaSearchEngine()
query_text = 'Fìlà Gọ̀bị́'
results = engine.search_by_text(query_text, top_k=3)
top_match = results[0]
print(f"ID: {top_match['id']}")
print(f"Class: {top_match['classification']}")
print(f"Description: {top_match['description']}")
print(f"Score: {top_match['score']:.4f}")
Example 2: Zero-Shot Cross-Modal Visual Retrieval
Perform zero-shot similarity search across Physical Heritage Artifacts using vision-language representation vectors.
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(f"Top Match: {matches[0]['id']} ({matches[0]['classification']})")
print(f"Confidence Score: {matches[0]['score']:.4f}")
🛠️ API Reference & Key Functions
| Method / Property | Return Type | Description |
|---|---|---|
AgbaSearchEngine() |
Object |
Initializes core engine & lazy-loads zero-shot VLM pipeline. |
.search_by_text(query, top_k=5) |
List[Dict] |
Executes diacritic-preserving text retrieval returning canonical scripts, classifications, and rich metadata. |
.search_by_vision(image, top_k=5) |
List[Dict] |
Queries visual vector space returning top-ranked artifact classifications and similarity scores. |
.version |
str |
Returns active engine build version (5.1.7). |
.ethical_license |
str |
Returns active RAIL 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 5.1.7
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Total release size: 11.4 kB
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