Answer study questions from a private course-document collection
At a glance
The template indexes provided learning documents in MongoDB Atlas and uses a Gemini Telegram agent to retrieve relevant passages before answering questions. This workflow is listed under life, education, document-qa, rag.
The template combines GPT intent detection, MongoDB product search, Redis sessions, and Gemini image generation for a conversational shirt-shopping flow.
The workflow selects a current article from RSS feeds, drafts a Telegram summary with Gemini, and waits for a human approval action before publishing it.
Gemini transcribes and analyzes a submitted video to produce Cornell notes, Feynman-style explanations, micro-goals, and practice activities in Notion.