AI & Machine Learning / PROVIDER GUIDE
Cohere
Cohere's API provides access to language and retrieval models, including its Command, Embed, and Rerank families. The platform documents chat generation, vector representations, and ranking of candidate results, with SDKs and JSON requests for integration. These components can be combined with an application's own documents, search system, and business logic.
Where it may fit
Consider Cohere when evaluating a document search or knowledge-assistant workflow with distinct retrieval and answer-generation stages. Measure whether the relevant source reaches the answer step, then assess whether the final response accurately reflects that source and supports the user's task.
What to consider
Evaluate retrieval and generation separately before judging the combined experience. Use queries with known relevant documents, including ambiguous and difficult cases. Check the chosen model's supported input format and deployment terms. Version your document preparation process, review permission filtering, and plan how to rebuild derived data if you later change the representation model or indexing approach.
Start with a bounded integration
Write down the input your application can provide, the output it needs, and how it will recognize an incomplete or unexpected result. Begin with a small example in the provider’s documented environment and inspect both successful and unsuccessful responses. Keep the provider’s identity, account configuration, and access rules separate from your application’s own user permissions.
Use the API comparison guide to document the decision, and the developer workflow to plan the first request. Test with representative data before extending the integration to a larger workload. These evaluation steps help you judge the fit without treating a provider description as a guarantee for your product.
FROM API DEPOT FIELD NOTES
