Metadata-Version: 2.4
Name: syeedalireza-omnisearch
Version: 1.0.0
Summary: Semantic & Visual Product Discovery
Author-email: Alireza Aminzadeh <syeedalireza@yahoo.com>
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: fastapi==0.110.0
Requires-Dist: uvicorn[standard]==0.27.1
Requires-Dist: pydantic==2.6.3
Requires-Dist: pydantic-settings==2.2.1
Requires-Dist: qdrant-client==1.8.0
Requires-Dist: sentence-transformers==2.5.1
Requires-Dist: pytest==8.1.1
Requires-Dist: pytest-asyncio==0.23.5
Requires-Dist: httpx==0.27.0

# OmniSearch: Semantic & Visual Product Discovery

**OmniSearch** is an AI-powered e-commerce search engine using Vector Databases (Qdrant/Milvus) and HuggingFace Transformers to allow users to search via natural language or images.

Developed by **Alireza Aminzadeh** ([@syeedalireza](https://github.com/syeedalireza)).

## Architecture
- **API:** FastAPI
- **Vector DB:** Qdrant / Milvus
- **AI Models:** HuggingFace Transformers (Sentence-BERT, CLIP)
- **Caching:** Redis

*(Technical implementation pending in next iteration)*
