hoangsonww/AI-RAG-Assistant-Chatbot

Conversation Summaries & Smart Highlights

Open

#15 opened on Sep 22, 2025

View on GitHub
 (0 comments) (2 reactions) (2 assignees)TypeScript (14 forks)auto 404
documentationduplicateenhancementgood first issuehelp wantedquestion

Repository metrics

Stars
 (43 stars)
PR merge metrics
 (PR metrics pending)

Description

Summary Allow users to generate AI-powered summaries of their conversations, along with key highlights or action items automatically extracted by the assistant.


🔍 Problem

Currently, users can view full chat histories, but:

  • Long conversations make it hard to revisit key points.
  • There’s no quick way to see what was important (answers, recommendations, action items).
  • Returning users might forget where they left off in a previous conversation.

💡 Proposed Solution

  • Backend (Express + TS):

    • Add /api/conversations/:id/summary endpoint.

    • Use RAG + LLM to generate:

      • A concise conversation summary.
      • A list of key highlights (facts, insights, answers).
      • Optional action items (tasks, follow-ups, reminders).
    • Store generated summaries in MongoDB alongside conversations.

  • Frontend (React + MUI):

    • Add a “Summarize Conversation” button in the chat UI.
    • Display summary at the top of the conversation page or in a collapsible panel.
    • Support export to Markdown/PDF for easy sharing.

✅ Benefits

  • Productivity: Users can quickly extract key info without rereading entire chats.
  • Memory Aid: Helps users remember where they left off.
  • Shareability: Easy to export/share summarized knowledge.
  • Differentiation: Adds enterprise-like value for knowledge workers.

📊 Priority

High – directly improves usability and bridges the gap between “chatting” and “knowledge management.”


Contributor guide