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Version 2.8.0 Release Notes

Released: January 27, 2025

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Overview

Version 2.8.0 introduces the AI Document Exchange system (RAG v2), a revolutionary approach to document management that enables AI models to create, manage, and collaborate on documents with full attribution tracking.

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Key Features

AI Document Creation

Direct document generation by AI models with attribution

Version Control

Complete version history with change tracking

Semantic Search

Advanced search with relevance scoring

Multi-Format Support

Support for Markdown, JSON, HTML, and more

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AI Document Exchange System

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Document Creation API

AI models can now create documents directly through the API: 
POST /api/documents/ai
Authorization: Bearer YOUR_API_KEY

{
  "title": "MCP Integration Guide",
  "content": "# Complete guide to MCP integration...",
  "format": "md",
  "metadata": {
    "model": {
      "name": "Claude 3",
      "provider": "Anthropic",
      "version": "3.0"
    },
    "context": "User requested comprehensive MCP guide",
    "visibility": "workspace"
  },
  "tags": ["mcp", "integration", "guide"]
}

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Model Attribution

Every AI-generated document tracks complete attribution: 
{
  "document_id": "doc_abc123",
  "attributions": [
    {
      "model_name": "Claude 3",
      "model_provider": "Anthropic",
      "model_version": "3.0",
      "contribution_type": "created",
      "timestamp": "2025-01-27T10:00:00Z",
      "metadata": {
        "tokens_used": 1500,
        "confidence_score": 0.95
      }
    },
    {
      "model_name": "GPT-4",
      "model_provider": "OpenAI",
      "contribution_type": "reviewed",
      "timestamp": "2025-01-27T11:00:00Z"
    }
  ]
}

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Document Management Features

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Version Control

All documents now support complete version history with rollback capabilities.

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Version Tracking

  • Automatic version creation on updates
  • Parent-child relationships between versions
  • Change diff generation
  • Rollback to any previous version

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Version API

// Get version history
GET /api/documents/{id}/versions

// Create new version
POST /api/documents/{id}/versions
{
  "content": "Updated content",
  "changeSummary": "Fixed typos and added examples"
}

// Rollback to version
POST /api/documents/{id}/rollback/{versionId}
PostgreSQL full-text search with relevance scoring: 
POST /api/documents/search
{
  "query": "MCP server configuration",
  "filters": {
    "modelName": "Claude 3",
    "modelProvider": "Anthropic",
    "dateFrom": "2025-01-01",
    "dateTo": "2025-01-31",
    "source": "ai_generated",
    "tags": ["mcp", "configuration"]
  },
  "limit": 10,
  "offset": 0
}
Search Features:
  • Semantic relevance scoring
  • Automatic snippet generation
  • Keyword highlighting
  • Filter by AI model, date, tags, source
  • Pagination with total count

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Document Preview System

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Multi-Format Viewer

The new document preview modal supports:
  • Page navigation
  • Zoom controls (10%-500%)
  • Text selection
  • Search within document

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Preview Controls

// Preview component usage
<DocumentPreview
  document={document}
  onClose={() => setPreviewOpen(false)}
  onNavigate={(direction) => navigateDocument(direction)}
  fullscreen={true}
/>

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MCP Tools Integration

New MCP tools for document operations:

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pluggedin_create_document

Create documents from MCP servers: 
{
  "name": "pluggedin_create_document",
  "parameters": {
    "title": "API Documentation",
    "content": "# API Reference...",
    "format": "md",
    "category": "documentation",
    "tags": ["api", "reference"]
  }
}

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pluggedin_search_documents

Search documents semantically: 
{
  "name": "pluggedin_search_documents",
  "parameters": {
    "query": "authentication flow",
    "limit": 5
  }
}

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pluggedin_get_document

Retrieve specific documents: 
{
  "name": "pluggedin_get_document",
  "parameters": {
    "documentId": "doc_abc123",
    "includeContent": true,
    "includeVersions": false
  }
}

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pluggedin_update_document

Update existing documents: 
{
  "name": "pluggedin_update_document",
  "parameters": {
    "documentId": "doc_abc123",
    "operation": "append",
    "content": "\n## New Section\nAdditional content..."
  }
}

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Security Enhancements

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Rate Limiting

  • AI document creation: 10 requests per hour
  • Document search: 60 requests per minute
  • Document updates: 30 requests per minute

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Content Security

All AI-generated content is sanitized before storage.
  • HTML/Markdown sanitization
  • Path traversal protection
  • Content size limit: 10MB
  • File type validation
  • XSS prevention

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Access Control

// Document visibility levels
enum Visibility {
  PRIVATE = 'private',      // Only owner
  WORKSPACE = 'workspace',   // Project members
  PUBLIC = 'public'         // Everyone
}

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Database Schema Updates

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New Tables

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document_versions

CREATE TABLE document_versions (
  id UUID PRIMARY KEY,
  document_id UUID REFERENCES docs(id),
  version_number INTEGER,
  content TEXT,
  content_hash VARCHAR(64),
  change_summary TEXT,
  created_at TIMESTAMP,
  created_by UUID REFERENCES users(id)
);

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document_model_attributions

CREATE TABLE document_model_attributions (
  id UUID PRIMARY KEY,
  document_id UUID REFERENCES docs(id),
  model_name VARCHAR(255),
  model_provider VARCHAR(255),
  model_version VARCHAR(50),
  contribution_type VARCHAR(50),
  metadata JSONB,
  created_at TIMESTAMP
);

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Updated docs Table

New fields added:
  • source: ‘upload’ | ‘ai_generated’ | ‘api’
  • ai_metadata: JSONB for AI-specific data
  • content_hash: SHA-256 hash for deduplication
  • visibility: Document visibility level
  • version: Current version number
  • parent_document_id: For version relationships

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UI Enhancements

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Library Interface

1

Source Filter

Filter documents by source (Uploaded, AI Generated, API)
2

Model Attribution Badges

Visual indicators for AI-generated content
3

Progress Tracking

Real-time upload and processing progress
4

Preview on Click

Instant document preview in modal

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Upload Progress

Enhanced progress tracking shows:
  • Text extraction progress
  • Chunking progress
  • Embedding generation
  • Database insertion
  • Estimated time remaining

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Migration Guide

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Database Migration

Run the migration script: 
# Run new migrations
pnpm db:migrate

# The migration adds:
# - document_versions table
# - document_model_attributions table
# - New fields to docs table

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API Updates

Update your API calls to include model metadata: 
// Old API call
await createDocument({
  title: "My Document",
  content: "Content here"
});

// New API call with attribution
await createDocument({
  title: "My Document",
  content: "Content here",
  metadata: {
    model: {
      name: "Claude 3",
      provider: "Anthropic",
      version: "3.0"
    }
  }
});

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Performance Improvements

  • Optimized search queries with new indexes
  • Lazy loading for document previews
  • Content deduplication reduces storage by 30%
  • Streaming support for large documents

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Known Issues

  • PDF preview may be slow for documents >100 pages
  • Search relevance scoring needs tuning for short queries
  • Version diff generation slow for very large documents

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Future Enhancements

Planned for future releases:
  • Real-time collaborative editing
  • Document templates
  • Advanced version merging
  • AI-powered document summarization
  • Export to multiple formats

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Support

For help with RAG v2 features: