[D] More complex RAG LLM bot pipeline

It's easy to create a RAG-enabled bot. But what I want to know, what's the best way to make the bot choose whether it needs additional info from vector database or not? I want to make a seamless user experience, so, for example, if a person wants to summarize the conversation, the pipeline shouldn't fetch data from vector database (as it won't need it; it rather should get more messages from the dialog as context). I see multiple solutions there: …

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