KamoCRM + Cohere

Cohere Command and Embed models for the AI assistant

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Panorama general

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.

Casos de uso común

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.

Configuración

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

Qué sincronizas de datos

AI request/response routing

Token usage

Model availability

Preguntas sobre la integración.

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.

More integrations like Cohere

OpenAIUse OpenAI models (GPT-4, GPT-4o, GPT-5) as the AI assistant backend AnthropicUse Claude models as the AI assistant backend Google GeminiUse Google Gemini models as the AI assistant backend MistralEuropean AI — Mistral models as the AI assistant backend

Connect Cohere with KamoCRM — free forever. No credit card required.

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