Marqo
Enhance search with AI-driven, scalable multimodal capabilities.
Key Takeaways
- What it is
- Enhance search with AI-driven, scalable multimodal capabilities.
- Best for
- Multimodal Search
- Custom Model Integration
- Horizontal Scalability
- Rating
- 4.6/5
What is Marqo?
Marqo is an advanced vector search engine designed to enhance search functionalities by leveraging generative AI. It provides robust search capabilities that support both text and image data, making it ideal for a wide range of applications. Marqo simplifies the integration of sophisticated search features into existing systems, offering a developer-friendly solution to improve search relevance, user engagement, and conversion rates.
Marqo's standout feature is its capability to perform complex multimodal searches that integrate both text and images. This makes it exceptionally useful for applications requiring detailed and nuanced search functionalities. Its developer-friendly approach ensures quick integration and ease of use, setting it apart from other search engines.
Marqo excels in delivering advanced, accurate, and flexible search capabilities, making it a valuable tool for developers and businesses. Its ability to handle multimodal search queries, combined with rapid integration and scalability, offers a significant edge in managing and searching large volumes of data efficiently.
Who is Using Marqo?
E-commerce Platforms
Improving product search functionality to boost user experience and conversion rates.
Tech Companies
Integrating advanced search features into applications to efficiently manage large data volumes.
Academic Researchers
Employing Marqo for projects involving extensive datasets and complex search requirements.
AI Developers
Using Marqo to build and test innovative AI-driven search solutions.
Uncommon Use Cases
Non-profits managing large document archives; startups offering enhanced search capabilities as a service.
Key Features
Rating Breakdown
Pricing Plans
Free Version
- Available for developers to explore Marqo’s capabilities at no cost
Enterprise Solutions
- Custom pricing based on specific business needs and scale
Which Marqo plan should you pick?
Start with the free plan if available for evaluation, then contact Marqo for a production or Enterprise deployment requiring higher scale, advanced features, or support.
Free
Good for evaluating Marqo indexes and APIs before committing to a production deployment.
Enterprise
Good for enterprise retailers who need advanced relevance features, custom models, managed support, experimentation, and large-scale production search.
Marqo Use Cases
Conversion-optimized product search
Use semantic, keyword, hybrid, multimodal, typo-tolerant, filtered, and personalized search across a product catalog.
Outcome: Help shoppers find relevant products and improve conversion.
Conversational shopping assistant
Let shoppers describe needs in natural language, answer clarifying questions, and receive categorized recommendations.
Outcome: Provide guided product discovery beyond keyword search.
Visual product discovery
Accept product images or image URLs and retrieve visually similar catalog items, optionally refined with text.
Outcome: Help shoppers find products based on visual appearance.
AI merchandising
Use ranking controls, boosts, buries, pins, filters, collections, and automated relevance optimization.
Outcome: Align product ordering with commercial goals such as conversion, margin, and promotions.
Search analytics and experimentation
Collect search and commerce events, access analytics APIs, send metric webhooks, and run controlled A/B tests.
Outcome: Measure search performance and validate revenue impact.
Workflow Ideas with Marqo
Launch an AI ecommerce search experience
- 1Install the Marqo pixel to capture searches, clicks, carts, and purchases.
- 2Create an ecommerce index and ingest the product catalog through the API or commerce connector.
- 3Connect storefront search requests to the Marqo search endpoint and measure results with analytics or A/B testing.
Build conversational product discovery
- 1Enable the Conversational Agent API for the ecommerce index.
- 2Send shopper text queries or uploaded images to the conversational endpoint.
- 3Render streamed summaries, clarifying questions, categories, suggestions, and product results in the storefront.
Operate a merchandising approval workflow
- 1Assign Owner, Developer, Merchandiser, or Analyst roles to team members.
- 2Configure merchandising, ranking, analytics, and user-management permissions.
- 3Require approvals for high-risk changes such as rule deletion, campaign changes, or ranking modifications.
How Marqo fits into your stack
API Access
Facilitates integration with existing systems through Marqo’s robust API.
Multilingual Support
Supports search in over 100 languages, making it suitable for global applications.
Cloud Compatibility
Operates seamlessly across various cloud platforms, offering deployment flexibility.
Open Source Model Support
Compatible with numerous open-source models, enhancing adaptability.
Pros
- +Enhanced Search Accuracy: Utilizes vector-based searching to deliver highly relevant search results.
- +Quick Setup: Enables rapid deployment with minimal code, speeding up the development cycle.
- +Scalability: Efficiently scales from local setups to cloud-based GPU nodes without performance degradation.
- +Community Support: Access to active support through Slack, GitHub, and Discourse communities for assistance and discussions.
Cons
- −Complexity for Beginners: The setup and understanding of vector search can be challenging for those without a technical background.
- −Resource Intensity: May require substantial computational resources, particularly when scaling up.
- −Limited Recognition: As a newer tool, it may take time for developers to adopt and integrate Marqo into mainstream applications.
Limitations & when to consider alternatives
Known limitations
- Conversational Agent access may require enablement. The Conversational Agent API requires access to be enabled for the index; otherwise conversational endpoints return a 403 error.
- Image uploads have size and format limits. Conversational image uploads allow up to five images per request, with formats and maximum sizes specified by Marqo.
- Uploaded conversational images expire. Uploaded images are retained for 24 hours and then deleted.
- Conversation history is retained for a limited period. Conversations are kept for 30 days after their last activity, and only the 100 most recent turns are stored and returned.
- Search result pagination is capped. For search, composite search, and collections, limit plus offset must not exceed 10,000.
Look elsewhere when
- You need a native mobile app rather than an API for embedding into a mobile storefront.
- You need a browser extension or desktop installer rather than a cloud API and storefront integration.
- You need document or spreadsheet uploads rather than image inputs.
How to Use Marqo
- 1
Access comprehensive documentation and tutorials on the Marqo website to learn how to utilize its features effectively, from basic setup to advanced configurations.
Who is Marqo For?
Enterprise retailers
Marqo is designed for mid-market and large retailers that need conversion-focused search, recommendations, merchandising, and conversational commerce.
Technical evaluators and AI/ML teams
Marqo provides API documentation, index management, model configuration, analytics, webhooks, and integration guidance for technical implementation.
Fashion retailers
Fashion catalogs can use visual similarity, fashion-optimized models, style discovery, and occasion-based conversational search.
B2B catalog operators
B2B catalogs can use natural-language product matching and suggestions for complex procurement requirements.
Ecommerce merchandising teams
Merchandisers can manage boosts, buries, pins, exclusions, campaigns, ranking settings, analytics, and approval workflows.
Frequently Asked Questions
What is Marqo?
Marqo is an ecommerce search and product discovery platform using LLM-based retrieval, behavioral learning, recommendations, merchandising, and conversational shopping.
How does Marqo learn from a store?
Marqo captures shopper interactions such as searches, clicks, add-to-cart events, purchases, and browsing behavior through its pixel and uses those signals to improve rankings.
Can Marqo search by image?
Yes. Marqo supports image search, multimodal text-and-image search, reverse image search, and image uploads for conversational discovery.
Which commerce platforms does Marqo support?
Marqo documents integrations for Shopify, Adobe Commerce, and Salesforce Commerce Cloud, plus direct API and headless storefront integrations.
Does Marqo support conversational shopping?
Yes. Its Conversational Agent API provides contextual recommendations, clarifying questions, categorized results, query suggestions, and streamed responses.
How can developers authenticate Marqo API requests?
Management endpoints use an API key in the Authorization Bearer header. Shopper-facing endpoints can use an index ID header.
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