Epic 25-A: Knowledge Systems & Front-End

[ohdearquant]

Epic A: Knowledge Systems & Front-End

1. Front-End Prototype

• Issue A1.1: Create Minimal UI

  • Description: Implement a basic React/Vue/Next.js UI with user authentication (if needed).
  • Key Tasks:
    • Scaffold front-end project structure.
    • Create a simple dashboard for uploading documents.
    • Display a list/table of uploaded data.
  • Acceptance Criteria:
    • Users can log in (if relevant), see a dashboard, upload a file, and see it listed.

• Issue A1.2: Basic Search & Tagging

  • Description: Implement text-based search and simple tagging for uploaded data.
  • Key Tasks:
    • Add input box for searching among uploaded documents.
    • Provide tag assignment/management (manual or auto-suggested).
  • Acceptance Criteria:
    • Users can locate documents by keyword or assigned tags.

2. Dynamic Knowledge Graph Creation

• Issue A2.1: Entity & Relationship Extraction

  • Description: On new data upload, auto-extract entities (people, places, topics) and relationships.
  • Key Tasks:
    • Integrate an NLP library (SpaCy, HuggingFace, etc.) to detect entities.
    • Convert extracted relations into a graph data structure (nodes/edges).
  • Acceptance Criteria:
    • Document ingestion automatically updates an internal representation of nodes & edges.

• Issue A2.2: Incremental Graph Updates

  • Description: Instead of reprocessing everything, only update the graph where new data intersects with old.
  • Key Tasks:
    • Determine a partial update strategy (e.g., hashing the content to skip reprocessing).
    • Provide logs or status messages showing which part of the graph changed.
  • Acceptance Criteria:
    • Uploading new docs only triggers partial re-ingestion, preserving existing graph nodes.

3. Knowledge Base Sync

• Issue A3.1: Synchronization Mechanism
  • Description: Provide a backend job or service to periodically/automatically sync with an external folder or mailbox.
  • Key Tasks:
    • Implement watchers/polling for new files/emails.
    • Trigger ingestion workflows upon detection.
  • Acceptance Criteria:
    • Automatic updates without manual uploads.

4. Front-End UI Polishing

• Issue A4.1: Visualize Graph & Docs

  • Description: Show the user how their data is linked in a simple graph visualization or node-link diagram.
  • Key Tasks:
    • Integrate a graph vis library (D3.js, Cytoscape.js, etc.).
    • Provide tooltip details on node hover.
  • Acceptance Criteria:
    • Users can see how documents/notes interconnect in near real-time.

• Issue A4.2: UI/UX Enhancements

  • Description: Add styling, navigation menus, filtering, and other usability improvements.
  • Key Tasks:
    • Improve design consistency (fonts, color scheme).
    • Provide advanced filtering (by date, tags, entity types).
  • Acceptance Criteria:
    • A more polished, user-friendly experience with minimal friction.