Details
AI Agents use Retrieval Augmented Generation (RAG): when a member asks a question, the system searches the community's knowledge engine for relevant content, then passes those results to a large language model (LLM) to generate a response. Agents are trained on posts, course materials, PDFs, and custom text snippets uploaded by the community administrator. All agent conversations appear in a shared AI Inbox, where admins can monitor interactions in real time and manually take over any conversation. Circle states that community data is not used to train external AI or LLM models.
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