[Feature] Centralized Study Material Management and RAG (Retrieval-Augmented Generation)

[miguelcsx]

Description

Develop a centralized Data Management Module that allows users to import, create, and manage their own study materials (e.g., PDFs, images, text files). The system will integrate Retrieval-Augmented Generation (RAG), enabling users to ask questions and receive answers based on both their own uploaded materials and external knowledge sources. The module will allow users to centralize their study process, minimizing the need to use multiple tabs or tools, and provide enhanced features such as topic detection, downloadable reports, summaries, and mind maps based on their study materials and external sources.

Goals

• Centralized Study Hub: Build a module where users can upload, manage, and interact with their study materials (text, PDFs, images).
• RAG Integration: Implement Retrieval-Augmented Generation to allow users to ask questions, with the system retrieving information from both external sources and the user’s own uploaded materials.
• Topic Identification: Enable the system to detect topics from the uploaded materials and questions, and provide contextual answers based on these topics.
• Reports and Summaries: Allow users to download reports, summaries, or mind maps generated from both their own materials and external knowledge sources.

Tasks

1. Data Management Features:

   • File Upload:
     • Enable users to upload various types of study materials, including PDFs, images, and text files.
     • Implement functionality for organizing these files within a user’s study dashboard (e.g., categorizing by topic or subject).
   • Material Management:
     • Allow users to create and manage their own study notes or content directly within the app.
     • Implement editing, versioning, and deletion options for uploaded and created materials.
     • Allow for tagging and linking study materials with identified topics for better organization.

2. RAG (Retrieval-Augmented Generation) System:

   • Retrieval from Own Materials:
     • Implement functionality for the system to retrieve relevant information from a user’s uploaded study materials when they ask a question.
     • Ensure that the retrieval system can parse content from PDFs, images (using OCR), and text files to provide comprehensive answers.
   • External Knowledge Integration:
     • Combine the retrieved information from the user’s study materials with external sources (e.g., web searches or LLM-generated content) for richer, more accurate answers.
   • Contextual Question Answering:
     • Enable users to ask questions in text-based format, with the system intelligently detecting the topic from their materials or prior conversations.
     • Provide answers based on a combination of retrieved material and LLM-generated content when necessary.

3. Topic Detection and Categorization:

   • Topic Extraction from Study Materials:
     • Use NLP techniques to identify key topics from uploaded materials, enabling better question handling and retrieval of relevant information.
   • Contextual Topic Detection from User Queries:
     • Automatically detect the topic when a user asks a question and retrieve relevant study material based on the identified topic.
     • Allow for multi-topic identification if the question relates to more than one subject in the user’s materials.

4. Reports, Summaries, and Mind Maps:

   • Downloadable Reports:
     • Provide users with the ability to download reports summarizing their study progress, questions asked, and topics covered.
   • Summaries from Own and External Sources:
     • Allow the system to generate summaries of study materials and external content, based on the user’s progress and focus areas.
   • Mind Map Generation:
     • Implement a mind map generation feature where users can visualize their study materials and topics, combining content from both their own uploads and external knowledge sources.
     • Make mind maps downloadable as an interactive format (HTML, SVG, etc.).

5. User Interaction Features:

   • Chat-Based Interaction:
     • Allow users to engage with the system through text-based chat, where they can ask questions or request reports, summaries, and mind maps.
   • Study Progress Tracking:
     • Implement a dashboard feature where users can track their study progress based on the questions they’ve asked and materials they’ve reviewed.
     • Provide insights into which topics have been covered extensively and which require more attention.

6. API and Backend Integration:

   • Data Storage:
     • Store uploaded study materials in a way that allows fast retrieval for both search and question-answering purposes.
   • Query Processing and RAG Integration:
     • Integrate the backend with a robust RAG system to efficiently retrieve data from both user-uploaded materials and external sources.
   • Report and Mind Map Generation:
     • Build APIs to support the generation of reports and mind maps based on user interaction and study materials.

7. Testing and Feedback:

   • Conduct testing to ensure the system can handle a variety of file types and provide accurate, relevant answers based on user-uploaded study materials.
   • Collect user feedback to refine the grading system, topic detection, and overall study material management workflow.

Acceptance Criteria

• Users can upload, manage, and organize their study materials (e.g., PDFs, images, text) within the system.
• The system retrieves relevant information from the user’s materials in response to questions, augmenting it with external content if needed.
• Users can ask questions in a chat-based format and receive answers based on their own materials and external sources, with topic detection automatically identifying key subjects.
• Users can download reports, summaries, and mind maps based on their own study materials and external sources.
• The system tracks user study progress and provides feedback on which topics need more focus.

Priority

High

Type

Feature

Notes

Ensure that privacy concerns are addressed when processing user-uploaded materials. The system should be flexible enough to handle different file formats and accurately retrieve and combine content from multiple sources.