GitHub repository: HDLuckySlevin/product-finder-embedding-service
Primary language: Python
Description: product-finder-embedding-service is a lightweight Python API using FastAPI and OpenCLIP (ViT-L/14) to generate unified vector embeddings for both images and product descriptions. Ideal for product matching, semantic search, and use with vector databases like Milvus — fully local and token-free.