v2.0.0 - RAG document integration

[2.0.0] - 2026-03-24

🎉 Major Feature: RAG Document Integration

Added:

• Document Upload & Processing: Upload documents directly to conversations for document-grounded discussions
• Supports PDF (via PDF.js), DOCX (via Mammoth.js), TXT, MD, JSON, CSV formats
• Automatic document parsing and text extraction
• Documents stored per conversation in IndexedDB
• RAG Context Injection: Documents automatically injected as system prompts for all LLM requests
• Knowledge base formatted with document titles and content
• Clear instructions for LLM to prioritize document information
• Works with both trunk messages and branch forks
• RAG context inherited by all fork branches from same conversation
• Documents Panel: New sidebar section for document management
• Upload button with file type validation
• Document list showing all uploaded files for active conversation
• Individual document removal (×) button
• Clear all documents button
• Empty state guidance ("Select a conversation first")
• RAG Status Indicators: Visual feedback showing when RAG is active
• Orange RAG badge in chat header: "🟢 RAG Active: N docs"
• Badge hidden when no documents present
• Document count updates in real-time
• CDN Dependencies: Added PDF.js (v3.11.174) and Mammoth.js (v1.6.0) for document processing
  Changed:
• Database Schema: Upgraded to v3 with new documents object store
• Schema: {id, convoId, filename, content, format, uploadedAt}
• Indexes on convoId and uploadedAt for efficient queries
• Automatic migration from v2 → v3 for existing users
• State Management: Added activeDocuments array to track documents for current conversation
• Clear All Data: Now includes documents when clearing all conversations
• App Description: Updated to include "RAG document integration"
  Technical:
• Database Functions: Added getConversationDocuments(), uploadDocument(), deleteDocument(), clearAllDocuments()
• Document Parsing: parseDocumentFile() handles all supported formats with appropriate library
• UI Rendering: renderDocumentsList() updates document panel when switching conversations
• RAG Prompt Construction: System message with knowledge base injected before all LLM API calls
• Event Handlers: Document upload input and clear all button integrated into event binding
• setActiveNode Enhancement: Now updates state.activeConvoId and calls renderDocumentsList()
• File Size Limits: 10MB raw upload limit, 5MB extracted text limit to prevent quota issues and ensure optimal LLM performance
  User Benefits:
• Document-Grounded Conversations: Ask questions about uploaded documents with LLM responses based on content
• Branching + RAG: Fork conversations to explore different questions on same documents
• Context Preservation: Documents linked to conversations, not global - prevents cross-contamination
• Complete Integration: RAG works seamlessly with all existing features (commit, promote, split, export)
• Audit Trail: Document references preserved in conversation snapshots and exports
  Breaking Changes:
• None - fully backward compatible. Existing conversations work unchanged; new feature is opt-in per conversation.