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Marqo

Paid
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About

Marqo is an AI-powered search platform that optimizes search conversion using click-stream, purchase, and event data, creating a personalized experience. It offers solutions for ecommerce search, multimodal search, recommendations, retrieval augmented generation, and classification. Marqo's platform trains custom LLMs for brands, enabling personalized search engine models and improving search relevance. It supports text and image search, allowing users to search with images and customize search based on user behavior.

Platform
Web
Keywords
ai searchrecommendationsvector searchmultimodal searchecommerce search
Task
product search

Features

multimodal search

recommendations

retrieval augmented generation

classification

personalized ai search

automated tag and collection generation

brand-specific models

click-stream and purchase data optimization

FAQs

What is vector search?

Vector search allows you to search documents, images and other data by converting items into a collection of vectors. This collection of vectors summarises the data in semantic form and allows us not only to match documents against queries through analysis of the semantic content, but also to understand where and how the document matched the query. With Marqo, inference to create the vectors is included.

What is the best setup for my application?

The number of instances you will need depends on a number of factors. The number of documents, the size of the documents and the type of data (image vs text). When dealing with low search volumes that primarily involve text or when low latency is not crucial, using CPU inference nodes can be a cost-effective solution. On the other hand, GPU inference nodes provide a significant performance boost when indexing and searching with images and are recommended for indexing large datasets and processing high volume, low latency searches. For multimodal models marqo.CPU.large is recommended as a minimum. The estimates for storage capacity provided in our calculator assume your are using a model that produces 768 dim. vectors.

Do I have to change my code to move from open-source to cloud?

The only changes you need to make are to update your URL and API key when accessing Marqo.

How does billing work?

Cloud pricing billed at the end of the month for total inference and shard hours used. Usage is rounded up to 15-minute increments. Enterprise pricing also includes a per session component for model training.

Pricing Plans

Cloud
$499.00 / per month

Fully managed

End-to-end vector creation and storage

Horizontally scalable

Model Customization

CPU instances and GPU instances

Scale at the click of a button

Access control

High availability

Low latency

Enterprise
Unknown Price

All of the features of Marqo Cloud

Embedding model training and data ingestion

AB Testing Tooling

Merchandising

User Interaction Metrics Tracking

Enhanced Enterprise SLA

Automated Search Evaluation

Access to ML scientists

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