# E-commerce Search Optimization

Marqo-FashionSigLIP is a multimodal embedding model optimized for fashion product search, achieving a 57% improvement in MRR and recall rate compared to FashionCLIP.

Conan-embedding-v1 is a Chinese text embedding model developed by the Tencent BAC team, focusing on semantic representation and similarity calculation for Chinese text.

A fine-tuned fashion multimodal retrieval model based on ViT-B-16-SigLIP, specializing in fashion product search

Marqo-FashionCLIP is a fashion-domain multimodal retrieval model based on the CLIP architecture, achieving state-of-the-art performance in fashion product search tasks through generalized contrastive learning.