Files
Chris Coutinho 53689d076b feat: Improve vector visualization with static assets and fixes
- Extract CSS and JavaScript into separate static files
  - Created nextcloud_mcp_server/auth/static/vector-viz.css
  - Created nextcloud_mcp_server/auth/static/vector-viz.js
  - Updated templates to reference external assets

- Fix vector visualization issues:
  - Normalize vectors before PCA to match Qdrant's cosine distance
  - Add zero-norm and NaN detection/handling for large datasets
  - Enable responsive Plotly sizing (autosize + responsive config)
  - Widen plot area to full viewport width with minimized margins

- Improve visualization accuracy:
  - Query point now positioned correctly relative to documents
  - Handles 200+ points without JSON serialization errors
  - Full-width plot maximizes screen space utilization

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-19 04:10:44 +01:00

393 lines
18 KiB
HTML

{% extends "base.html" %}
{% block title %}Welcome - Nextcloud MCP Server{% endblock %}
{% block extra_head %}
<!-- Alpine.js for interactive elements -->
<script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script>
{% endblock %}
{% block extra_styles %}
/* Welcome page specific styles */
.hero-section {
background: linear-gradient(135deg, var(--color-primary-element) 0%, #0082c9 100%);
color: white;
padding: 60px 24px;
margin: -24px -24px 40px -24px;
border-radius: 0 0 var(--border-radius-large) var(--border-radius-large);
text-align: center;
}
.hero-section h1 {
color: white;
font-size: 36px;
margin: 0 0 16px 0;
font-weight: 600;
}
.hero-section p {
font-size: 18px;
opacity: 0.95;
max-width: 700px;
margin: 0 auto;
line-height: 1.6;
}
.feature-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 24px;
margin: 32px 0;
}
.feature-card {
background: var(--color-main-background);
border: 2px solid var(--color-border);
border-radius: var(--border-radius-large);
padding: 24px;
transition: all 0.2s;
cursor: pointer;
text-decoration: none;
color: inherit;
display: block;
}
.feature-card:hover {
border-color: var(--color-primary-element);
box-shadow: 0 4px 12px rgba(0, 103, 158, 0.15);
transform: translateY(-2px);
}
.feature-card h3 {
color: var(--color-primary-element);
font-size: 20px;
margin: 12px 0 8px 0;
font-weight: 600;
display: flex;
align-items: center;
gap: 12px;
}
.feature-card p {
color: var(--color-text-maxcontrast);
font-size: 14px;
line-height: 1.6;
margin: 8px 0 0 0;
}
.feature-icon {
width: 48px;
height: 48px;
background: var(--color-primary-element-light);
border-radius: var(--border-radius);
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 8px;
}
.feature-icon svg {
width: 28px;
height: 28px;
fill: var(--color-primary-element);
}
.info-section {
background: var(--color-background-hover);
border-radius: var(--border-radius-large);
padding: 32px;
margin: 32px 0;
}
.info-section h2 {
color: var(--color-main-text);
font-size: 24px;
margin: 0 0 16px 0;
border: none;
padding: 0;
}
.info-section p {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 12px 0;
}
.info-section ul {
margin: 12px 0;
padding-left: 24px;
}
.info-section li {
color: var(--color-text-maxcontrast);
line-height: 1.7;
margin: 8px 0;
}
.info-section code {
background: var(--color-main-background);
padding: 2px 8px;
border-radius: var(--border-radius);
font-size: 13px;
}
.auth-status {
background: var(--color-primary-element-light);
border-left: 4px solid var(--color-primary-element);
padding: 16px 20px;
margin: 24px 0;
border-radius: var(--border-radius);
display: flex;
align-items: center;
gap: 12px;
}
.auth-status svg {
width: 24px;
height: 24px;
fill: var(--color-primary-element);
flex-shrink: 0;
}
.auth-status-text {
flex: 1;
}
.auth-status-text strong {
display: block;
color: var(--color-main-text);
font-size: 14px;
margin-bottom: 4px;
}
.auth-status-text span {
color: var(--color-text-maxcontrast);
font-size: 13px;
}
{% endblock %}
{% block content %}
<div class="app-content-wrapper">
<!-- Main Content Area -->
<main id="app-content">
<div class="page-content">
<!-- Hero Section -->
<div class="hero-section">
<h1>Welcome to Nextcloud MCP Server</h1>
<p>
Interactive user interface for semantic search and document retrieval.
Test queries, visualize results, and explore your Nextcloud content using RAG workflows.
</p>
</div>
<!-- Authentication Status -->
<div class="auth-status">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
<div class="auth-status-text">
<strong>Authenticated as: {{ username }}</strong>
<span>Authentication mode: <code>{{ auth_mode }}</code></span>
</div>
</div>
{% if vector_sync_enabled %}
<!-- Vector Sync Enabled Content -->
<div class="info-section">
<h2>About Semantic Search</h2>
<p>
This interface provides access to <strong>semantic search</strong> capabilities powered by vector embeddings.
Unlike traditional keyword search, semantic search understands the <em>meaning</em> of your queries and finds
conceptually similar content across your Nextcloud apps.
</p>
<p>
<strong>How it works:</strong>
</p>
<ul>
<li>Documents from Notes, Calendar, Files, Contacts, and Deck are indexed into a vector database</li>
<li>Each document chunk is converted to a 768-dimensional vector embedding that captures semantic meaning</li>
<li>Queries are also converted to embeddings and matched against document vectors using similarity search</li>
<li>Results can be retrieved using pure semantic search or hybrid BM25 search combining keywords and semantics</li>
</ul>
</div>
<div class="info-section">
<h2>RAG Workflow Integration</h2>
<p>
This UI allows you to <strong>test the same queries that Large Language Models (LLMs) would use</strong> in a
Retrieval-Augmented Generation (RAG) workflow. When an AI assistant needs to answer questions about your data:
</p>
<ul>
<li><strong>Step 1:</strong> The assistant converts your question into a search query</li>
<li><strong>Step 2:</strong> The MCP server retrieves relevant document chunks using semantic search</li>
<li><strong>Step 3:</strong> Retrieved context is passed to the LLM to generate an informed answer</li>
</ul>
<!-- RAG Workflow Diagram -->
<div style="background: var(--color-main-background); border: 2px solid var(--color-primary-element); border-radius: var(--border-radius-large); padding: 24px; margin: 24px 0; font-family: 'SFMono-Regular', 'Consolas', 'Liberation Mono', 'Menlo', monospace; font-size: 13px; line-height: 1.8; overflow-x: auto;">
<div style="text-align: center; font-weight: 600; margin-bottom: 16px; color: var(--color-primary-element); font-size: 14px;">
MCP Sampling RAG Workflow
</div>
<pre style="margin: 0; color: var(--color-main-text);">
┌─────────────────┐
<strong>MCP Client</strong> │ User asks: "What are health benefits of coffee?"
│ (Claude Code) │
└────────┬────────┘
│ (1) User question
┌────────────────────────────────────────────────────────────────────────┐
<strong>Nextcloud MCP Server</strong>
│ ┌──────────────────────────────────────────────────────────────────┐ │
│ │ <strong>nc_semantic_search_answer</strong> Tool (MCP Sampling-enabled) │ │
│ │ │ │
│ │ (2) Semantic Search │ │
│ │ ┌────────────────────────────────────────────────────────┐ │ │
│ │ │ Query: "health benefits of coffee" │ │ │
│ │ │ → Convert to 768D vector embedding │ │ │
│ │ │ → Search Qdrant (BM25 Hybrid + RRF fusion) │ │ │
│ │ │ → Retrieve top 5 relevant document chunks │ │ │
│ │ └────────────────────────────────────────────────────────┘ │ │
│ │ │ │
│ │ (3) Construct Prompt with Context │ │
│ │ ┌────────────────────────────────────────────────────────┐ │ │
│ │ │ "What are health benefits of coffee? │ │ │
│ │ │ │ │ │
│ │ │ Documents: │ │ │
│ │ │ - [MED-2155] Effects of habitual coffee consumption...│ │ │
│ │ │ - [MED-1646] Beverage consumption guidance... │ │ │
│ │ │ - [MED-1627] Coffee and depression risk... │ │ │
│ │ │ ... │ │ │
│ │ │ │ │ │
│ │ │ Provide answer with citations." │ │ │
│ │ └────────────────────────────────────────────────────────┘ │ │
│ │ │ │
│ │ (4) MCP Sampling Request │ │
│ │ ─────────────────────────────────────────────────────────────> │ │
│ └──────────────────────────────────────────────────────────────────┘ │
└────────────────────────────────────────────────────────────────────────┘
│ Sampling request with prompt + context
┌─────────────────┐
<strong>MCP Client</strong> │ (5) Client's LLM generates answer using retrieved context
│ (Claude) │ → "Coffee consumption (2-3 cups/day) is associated with
└────────┬────────┘ reduced risk of type 2 diabetes, cardiovascular disease,
│ and improved liver health (Document 1, 2)..."
│ (6) Answer with citations
┌─────────────────┐
│ User │ Receives comprehensive answer with source citations
└─────────────────┘</pre>
</div>
<p style="margin-top: 16px;">
<strong>Key Point:</strong> The MCP server retrieves context but doesn't generate answers itself.
Through <strong>MCP sampling</strong>, it requests the client's LLM to generate responses, giving users
full control over which model is used and ensuring all processing happens client-side.
</p>
<p>
By using this interface, you can preview search results, understand relevance scores, and verify
that the system retrieves the right information before it reaches the LLM.
</p>
</div>
<!-- Feature Cards -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="/app/user-info" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
<a href="/app/user-info#vector-sync" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,18A6,6 0 0,1 6,12C6,11 6.25,10.03 6.7,9.2L5.24,7.74C4.46,8.97 4,10.43 4,12A8,8 0 0,0 12,20V23L16,19L12,15M12,4V1L8,5L12,9V6A6,6 0 0,1 18,12C18,13 17.75,13.97 17.3,14.8L18.76,16.26C19.54,15.03 20,13.57 20,12A8,8 0 0,0 12,4Z" />
</svg>
</div>
<h3>Vector Sync Status</h3>
<p>
Monitor real-time indexing progress with metrics for indexed documents, pending queue,
and synchronization status.
</p>
</a>
<a href="/app/user-info#vector-viz" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M22,21H2V3H4V19H6V10H10V19H12V6H16V19H18V14H22V21Z" />
</svg>
</div>
<h3>Vector Visualization</h3>
<p>
Interactive search interface with 2D PCA visualization. Compare algorithms,
view relevance scores, and explore matched document chunks.
</p>
</a>
</div>
{% else %}
<!-- Vector Sync Disabled Content -->
<div class="warning">
<h3 style="margin-top: 0;">Vector Sync is Disabled</h3>
<p>
Semantic search and vector visualization features are currently disabled.
To enable these features, set <code>VECTOR_SYNC_ENABLED=true</code> in your environment configuration.
</p>
<p style="margin-bottom: 0;">
<strong>Learn more:</strong>
<a href="https://github.com/YOUR_REPO/docs/configuration.md" target="_blank" style="color: inherit; text-decoration: underline;">
Configuration Guide
</a>
</p>
</div>
<!-- Limited Feature Card -->
<h2>Available Features</h2>
<div class="feature-grid">
<a href="/app/user-info" class="feature-card">
<div class="feature-icon">
<svg viewBox="0 0 24 24">
<path d="M12,4A4,4 0 0,1 16,8A4,4 0 0,1 12,12A4,4 0 0,1 8,8A4,4 0 0,1 12,4M12,14C16.42,14 20,15.79 20,18V20H4V18C4,15.79 7.58,14 12,14Z" />
</svg>
</div>
<h3>User Information</h3>
<p>
View your authentication details, session information, and IdP profile.
Manage background access permissions.
</p>
</a>
</div>
{% endif %}
<!-- Documentation Section -->
<div class="info-section" style="margin-top: 40px;">
<h2>Documentation</h2>
<p>
For detailed information about configuration, authentication modes, and advanced features,
please refer to the project documentation:
</p>
<ul>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/installation.md" target="_blank">Installation Guide</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/configuration.md" target="_blank">Configuration Options</a></li>
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/authentication.md" target="_blank">Authentication Modes</a></li>
{% if vector_sync_enabled %}
<li><a href="https://github.com/cbcoutinho/nextcloud-mcp-server/blob/master/docs/user-guide/vector-sync-ui.md" target="_blank">Vector Sync UI Guide</a></li>
{% endif %}
</ul>
</div>
</div>
</main>
</div>
{% endblock %}