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I've built a chatbot using the Microsoft Bot Framework, which handles various use cases. Some of these use cases require Azure OpenAI, while others do not. To manage this efficiently, I've decided to integrate Semantic Kernel as a separate class library. My main objective is to implement a RAG operation using a semantic kernel within the chatbot. Can anyone help me suggest a good method? |
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What is your expected scenario - are there multiple agents talking to each other via bot framework or within a single bot are there multiple agents in the bot. |
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I have a chatbot with many use cases that utilizes Cognitive Language Understanding (CLU) for intent identification. I would like to know if the kernel can be employed in the orchestrator layer and whether it is possible to invoke existing dialogs from the kernel ? Is it feasible to call multiple agents through a single bot? |
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Need Best practices example, setting up multi-agent semantic kernel with Microsoft Bot Framework
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