My main use case for Dify Enterprise is building workflows which trigger the LLM calls and perform certain actions. I can give you a specific example of a workflow I have built using Dify Enterprise: in supply chain management, whenever there is a logistics-related query, an intent agent first identifies whether the query is relevant to logistics or not. After that, there are some calculations according to the context given. In this workflow, we are leveraging the APIs and connectors of Dify Enterprise to accomplish the work via workflows, and I have a sequential workflow for each of the different use cases, which triggers different Dify Enterprise API endpoints. I have mostly used Dify Enterprise for these sequential workflows only.
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My main use case for Dify Enterprise is building workflows which trigger the LLM calls and perform certain actions. I can give you a specific example of a workflow I have built using Dify Enterprise: in supply chain management, whenever there is a logistics-related query, an intent agent first identifies whether the query is relevant to logistics or not. After that, there are some calculations according to the context given. In this workflow, we are leveraging the APIs and connectors of Dify Enterprise to accomplish the work via workflows, and I have a sequential workflow for each of the different use cases, which triggers different Dify Enterprise API endpoints. I have mostly used Dify Enterprise for these sequential workflows only.