Use your data to increase conversionsorder valuedownloadsrelevanceconversions with vector search.
Fine tune embedding models with interaction data to increase conversions, order value, downloads, clicks. Get started in minutes, not months.
AI search that understands the way your customers search think
Easily integrates as an additional retriever
No need to replace re-rankers, Marqo can slot into your existing pipeline
Scalable
Run Marqo in a docker image on your laptop or scale it up to dozens of GPU inference nodes in the cloud. Marqo can be scaled to provide low latency searches against multi-terabyte indexes.
Multimodal
Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. You can seamlessly search any combination of text and images and even combine text and images into a single vector.
End-to-end AI search
Marqo has you covered from inference to storage. With Marqo you don't need to calculate the vectors yourself, simply select the model you want to use and pass the text and/or image URLs directly to the API.
Multilingual
Search in over 100 languages. Marqo provides access to state of the art multilingual models. Expand your search to new localities with zero manual language configuration changes.
Enhance your search with Marqo's feature-rich developer experience.
Marqo provides a feature rich developer experience - it lets you perform multimodal vector search without having to sacrifice on features like filtering and highlighting.
Multimodal search
Marqo can be used with text and/or image data. Multimodal indexes seamlessly handle image-to-image, image-to-text and text-to-image search.
Composite Queries
Marqo supports weighted queries which can combine multiple text and image queries together. Negative weights can be added to query terms to push certain items out of your result set.
Ranking Modification
Marqo supports score modifiers, numeric fields in your documents can be used to manipulate the score and influence the ranking of results.
Context search
Additional context can be added to queries by providing vectors directly, this helps tailor results without the overhead of additional inference.
Custom model integration
Import open source models from Hugging Face, bring your own, or load private models from AWS S3, GCP or Hugging Face using authentication.
Bulk operations
Parts of Marqo's API support bulk operations to improve throughput. These bulk operations enable use cases such as bulk changes to multiple indexes or coalescing of queries.
Horizontal scalability
Marqo is horizontally scalable and can be run at million document scale whilst maintaining lightning-fast search times.
Highlighting
Marqo provides search highlighting functionality which allows you to transparently understand where and why a match occurred.
Filtering
Marqo offers a powerful query DSL (Domain Specific Language), which can be applied as a prefilter ahead of approximate k-NN search.
Join the community.
Get involved with building the future of Marqo or access support from Marqo's vast community by joining us on Slack and Github.
GitHub
Discuss issues, PRs, and what features to add. Vote on your favorite features. Let us know!
Slack
Join the group discussion and let any head-scratchers be answered by the community.
Discourse
Join our discourse forum to keep up with the latest announcements, troubleshoot with the community, or show off something you have built with Marqo!
Releases
Have a look at Marqo's release notes to keep up-to-date with development.
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