Marqo Ecommerce Embedding Models
Improve Your Onsite Product Search by 31%
Listed in categories:
Developer ToolsOpen SourceE-Commerce
Description
Marqo is an advanced embedding inference engine designed to enhance search applications and information retrieval. It supports hundreds of embedding models and offers features like semantic search, multimodal capabilities, and scalable vector retrieval, making it a powerful tool for businesses looking to optimize their search functionalities.
How to use Marqo Ecommerce Embedding Models?
To use Marqo, simply select the embedding model you want, pass the text or image URLs to the API, and let Marqo handle the vector calculations and retrieval processes seamlessly.
Core features of Marqo Ecommerce Embedding Models:
1️⃣
Train and deploy embedding models
2️⃣
Advanced semantic search
3️⃣
Multimodal search capabilities
4️⃣
Scalable vector and lexical retrieval
5️⃣
Comprehensive evaluation of retrieval performance
Why could be used Marqo Ecommerce Embedding Models?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Improve relevance and optimize results for business outcomes through advanced semantic search | ✅ | |
| # 2 | Enhance generative AI applications with state-of-the-art embeddings and fine-tuning | ✅ | |
| # 3 | Personalize recommendations based on user behavior and characteristics | ✅ | |
Who developed Marqo Ecommerce Embedding Models?
Marqo is developed by a team of experts in AI and machine learning, dedicated to providing advanced solutions for search and information retrieval. Their focus is on enabling businesses to leverage cutting-edge technology with ease and efficiency.