KamoCRM + Cohere

Cohere Command and Embed models for the AI assistant

Overview

Configure Cohere as the LLM provider for KamoCRM's AI assistant. Cohere specializes in enterprise AI with strong retrieval-augmented generation (RAG) tooling — particularly relevant for KamoCRM's RAG-backed knowledge base search. Bring your own Cohere API key.

Common use cases

Enterprise RAG workflows

Cohere's Command models pair well with their Embed and Rerank models for sophisticated retrieval-augmented generation over your KB.

Multilingual global teams

Cohere supports 100+ languages with strong performance across non-English markets.

Cohere Rerank for improved search relevance

Rerank-specific models can sharpen the relevance of KB retrieval when paired with KamoCRM's RAG engine.

Setup

1Navigate to Settings → AI → Providers in KamoCRM
2Select Cohere as a provider
3Enter your Cohere API key
4Select default generation model (Command R+, Command R)
5Test with a sample AI query

What data syncs

AI request/response routing

Token usage

Model availability

Questions about Cohere

Why Cohere?

Cohere is enterprise-focused with strong RAG tooling and multilingual support. Often preferred by organizations with existing Cohere contracts or specific multilingual needs.

Does KamoCRM use Cohere Embed for RAG?

The RAG engine supports configurable embedding models; Cohere Embed is a supported option where selected.

Any cloud-native routing options?

Cohere is available via AWS SageMaker, Google Vertex AI, and Oracle OCI for teams with existing cloud relationships. Direct API is supported; alternative cloud routing is requestable.

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