Marqo

Train and deploy embedding models

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About	Details
Name:	Marqo
Submited By:	Odell Bode
Release Date	1 year ago
Website	Visit Website
Category	Developer Tools Data Science

Rapidly prototype, speed up iteration and seamlessly deploy 150+ embedding models. Build powerful AI applications and transform your retrieval stack.

Enrico Wiza

I’m excited about the multimodal capabilities. Combining text and images for semantic search opens up new possibilities for enhancing user experiences.

1 year ago

Joaquin Wisozk

I’d love to see more examples of successful implementations. It would help new users understand the potential

1 year ago

Michel Heathcote

how the evaluation methods for retrieval performance works . How do you ensure the accuracy of results

1 year ago

Monserrate VonRueden

Congrats on the launch @jesse_clark, Tom and team! Are you planning to introduce a self-serve offering for the cloud version as well?

1 year ago

Neal Jacobson

I fully support this idea! Speeding up prototyping is crucial for many teams.

1 year ago

Buck Yundt

The capability to deploy embedding models quickly and easily is a huge advantage.

1 year ago

Jarrell Homenick

The focus on retrieval is really interesting. I'm always looking for ways to improve the accuracy of my search results.

1 year ago

Buck Yundt

The multimodal feature looks perfect for many use cases.

1 year ago

Hugh Borer

It would be great if you could add more hands_ on tutorials, especially for beginners!

1 year ago

Trenton Spencer

I noticed a slight delay when running the savings calculator.

1 year ago

Rupert Emmerich

Excited to see what Marqo can do! As a startup, we need tools that can scale with us. How adaptable is Marqo for various types of projects? Looking forward to trying it out!

1 year ago

Michel Heathcote

Congrats on the launch! Does it allow hosting the embedded database (Postgres + pgvector as well)? Or is it just for the model itself?

1 year ago

Marqo

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