

Marqo
Overview :
Marqo is a platform focused on training and deploying embedded models, offering an end-to-end solution from model training to inference and storage. It supports over 150 embedded models and enables rapid prototyping, accelerated iteration, and seamless deployment. The platform accommodates multimodal models, such as CLIP, which can extract semantic information from images and other data types, facilitating seamless text and image searches, and even combining them into a unified vector. Marqo also supports search in over 100 languages with cutting-edge multilingual models, automatically scaling to new regions without manual language configuration. Additionally, Marqo's scalability allows users to run Docker images on laptops and expand to dozens of GPU inference nodes in the cloud, providing low-latency search services.
Target Users :
The target audience of Marqo is enterprise users, particularly those companies that need to enhance their search and information retrieval experiences through embedded models. These enterprises may span industries such as e-commerce, content management, social media, and any field requiring efficient and accurate search solutions. Marqo assists these businesses in improving search relevance, optimizing outcomes, and providing a better user experience by offering an advanced platform for training and deploying embedded models.
Use Cases
Redbubble saw team support and expertise during the pilot period with Marqo, making the decision easy.
The CEO of Cohere believes Marqo makes AI useful for enterprises by enabling developers to easily utilize the best technology.
Temple & Webster quickly deployed advanced vector search with Marqo and experienced improvements in key metrics in a short time.
Features
Support for 150+ embedded models, including custom weights.
An embedded inference engine for rapid image ingestion, inference, and search.
Horizontal scaling for vector and lexical retrieval, including metadata handling, re-ranking, filtering, score modifications, and mixed search.
Evaluation of search systems using multimodal large language models, scoring for accuracy, ranking, consistency, and average relevance.
Advanced semantic search to optimize business outcomes.
Enhanced performance for generative AI applications through embedded models, fine-tuning, and multimodal capabilities.
Recommendation of the best products based on user searches, browsing, and other activities to promote more purchases.
Image-based semantic search to discover similar entities, cleanse product catalogs, social feeds, etc., and eliminate undesirable content.
How to Use
1. Visit the official Marqo website and create an account.
2. Select the embedded model you wish to use and upload text and/or image URLs to the API.
3. Use Marqo's embedded inference engine for rapid image ingestion, inference, and search.
4. Utilize Marqo's retrieval capabilities for vector and lexical search, including metadata handling, re-ranking, filtering, and more.
5. Assess your search system using Marqo's evaluation tools to improve iteration speed and results in production environments.
6. Leverage Marqo for semantic search, performance enhancement in generative AI applications, product recommendations, and content moderation, based on your business needs.
7. Expand search to new regions and data types using Marqo's multilingual and multimodal features.
8. Scale Marqo across multiple GPU inference nodes in the cloud as needed to provide low-latency search services.
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