Feature-rich developer experience
Marqo provides a feature-rich developer experience, letting you perform multimodal vector search without sacrificing 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.
