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Integration brief CohereAI and LLM Providers

A Canadian Model Provider for a Canadian Residency Rule

Cohere is a Canadian company building models aimed at enterprise retrieval and generation, with deployment options that keep data in-country. What brings it into a shortlist here is a sovereignty requirement that is specifically Canadian.

What you can do together

  • Keep generation in Canada through a Cohere deployment option that does so, where the sovereignty requirement is specifically Canadian.
  • Put Cohere behind the agents that answer from a large records library, with retrieval still running on the deployment's own embedding provider.
  • Change which agent uses which provider as configuration, per workload.
  • Keep material that may not leave the network on a self-hosted model instead.

How it connects

The model behind an agent or a node is configuration. Cohere is enabled in the deployment, then selected per deployment or per agent.

It is worth being precise about which half of the work Cohere does here. Cohere builds retrieval models of its own, but in AI Intelligence Hub it is the model that writes the answer. Finding the passages is the platform's own retrieval, over embeddings from the deployment's configured embedding provider, so choosing Cohere changes how an answer is written, not which passages it is written from.

An engagement should note the relationship honestly: Cohere also competes with AI Intelligence Hub in enterprise retrieval, and the competitor library records that. Using it as a model provider and meeting it across the table on a deal are both normal, and neither cancels the other.

VIDIZMO and Cohere · Integration briefPage 1 of 2
How it works CohereAI and LLM Providers
Nexus your video, audio, images and documents, indexed under your access rules content the asking user may see AI Intelligence Hub agents, chat, workflows, retrieval with citations; model chosen per agent prompts and embeddings over API Cohere model endpoint, hosted by the provider or on your own servers answers Users chat, search, workflow output Cohere VIDIZMO

A scenario

  1. ScopingThe engagement confirms the residency requirement and which deployment option satisfies it.
  2. SetupCohere is configured as the provider in AI Intelligence Hub.
  3. EvaluationThe body tests answers on its own library, since answer quality is library-specific rather than general.
  4. In useAnswers are generated in-country, with retrieval running under the asking user's identity.
  5. ProcurementThe competitor relationship is disclosed rather than discovered, because it is recorded.

What stays where

Cohere supplies the models

The catalogue, the deployment options and the licensing stay with Cohere.

Residency is the reason, and it is confirmed

Which deployment option keeps data in-country is established rather than assumed.

It is also a competitor

Cohere competes in enterprise retrieval, and the competitor library records it; both relationships hold at once.

Content governance does not move

Retrieval runs under the asking user's identity whichever provider generates the answer.

Products and solutions

Next step

See it on your own Cohere instance.

We will show the connection made, the data moving and the output, then size it for your deployment.

Contact VIDIZMO

sales@vidizmo.ai

+1 571-969-2180

vidizmo.ai

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