feat(library): deploy Library infrastructure (Neo4j, Wiki.js, Library Desk API)

Implements The Library system - a knowledge management and HybridRAG platform.

**Stack Files:**
- neo4j.yml: Knowledge graph database with APOC plugin
- wiki.yml: Wiki.js for human-facing dossier management
- library-desk.yml: FastAPI coordination service

**Library Desk Service:**
- FastAPI application following best practices
- Pydantic Settings for configuration management
- Bearer token authentication
- Health monitoring endpoints
- Stub endpoints for future HybridRAG implementation

**Features:**
- All services on docker-dataplane network
- Proper healthchecks for all containers
- Neo4j password validation (alphanumeric only)
- Wiki.js healthcheck fixed for IPv4/IPv6 compatibility
- Python 3.12+ with CVE-checked dependencies
- Minor version locking for stability

**Endpoints:**
- Neo4j Browser: http://192.168.86.149:7474
- Wiki.js: http://192.168.86.149:8088
- Library Desk API: http://192.168.86.149:8089
- API Docs: http://192.168.86.149:8089/docs

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2025-12-08 17:35:09 +01:00
co-authored by Claude Opus 4.5
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# Library Desk - API Coordination Service
**FastAPI service that coordinates all Library operations**
## Overview
Library Desk is the central coordination layer for The Library system, providing a unified API for:
- **HybridRAG Queries** - Combines Neo4j (structure) + Qdrant (semantics) + SearXNG (web)
- **Document Ingestion** - Parse, chunk, embed, and index documents
- **Entity Extraction** - NLP to identify classes, functions, concepts
- **Relationship Mapping** - Link entities in Neo4j knowledge graph
- **Mind Map Generation** - Query Neo4j graph → Render D3.js visualizations
- **Wiki.js Proxy** - CRUD operations for dossiers
- **Deduplication** - Vector similarity + graph analysis
## Architecture
```
Library Desk API (FastAPI)
├── Neo4j (knowledge graph)
├── Qdrant (vector search)
├── Wiki.js (wiki operations)
├── SearXNG (web search)
├── Ollama (embeddings)
└── Redis (caching)
```
## Requirements
- **Python**: 3.12+
- **Dependencies**: See `requirements.txt`
## Configuration
Environment variables (set in Portainer stack):
```bash
# Required
LIBRARY_API_KEY=<generate-with-openssl-rand-hex-32>
NEO4J_PASSWORD=<neo4j-password>
WIKIJS_API_KEY=<from-wiki-admin-panel>
# Optional (defaults provided)
NEO4J_URI=bolt://neo4j:7687
NEO4J_USER=neo4j
QDRANT_HOST=qdrant
QDRANT_PORT=6333
WIKIJS_URL=http://wiki:3000
SEARXNG_URL=http://searxng:8080
OLLAMA_URL=http://ollama:11434
OLLAMA_MODEL=nomic-embed-text
REDIS_HOST=redis-shared
REDIS_PORT=6379
REDIS_DB=2
```
## API Endpoints
### System
- `GET /` - Root endpoint
- `GET /health` - Health check (public)
- `GET /stats` - System statistics (authenticated)
### Query (All require API key)
- `POST /query/hybrid` - HybridRAG (graph + vector + web)
- `POST /query/semantic` - Vector search only
- `POST /query/graph` - Graph traversal only
- `GET /query/related/{id}` - Find related content
### Content Management (Future)
- `POST /ingest/document` - Index new document
- `POST /ingest/wiki-page` - Sync Wiki.js page
- `POST /wiki/dossier` - Create dossier (proxies to Wiki.js)
- `PUT /wiki/dossier/{id}` - Update dossier
- `DELETE /wiki/dossier/{id}` - Delete dossier
### Graph Operations (Future)
- `GET /graph/entities` - List entities
- `GET /graph/mindmap/{id}` - Generate mind map
- `POST /graph/query` - Execute Cypher query
### Deduplication (Future)
- `POST /deduplicate/find` - Find duplicates
- `POST /deduplicate/merge` - Merge duplicates
## Development
### Local Setup
```bash
# Create virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Run development server
uvicorn src.main:app --reload --host 0.0.0.0 --port 8089
```
### Project Structure
Following [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices):
```
library-desk/
├── src/
│ ├── __init__.py # Package initialization
│ ├── main.py # FastAPI application
│ ├── config.py # Pydantic settings
│ └── [future modules] # Domain-specific modules
├── requirements.txt # Python dependencies
└── README.md # This file
```
Future structure (as features are added):
```
library-desk/
├── src/
│ ├── query/ # Query domain
│ │ ├── router.py
│ │ ├── schemas.py
│ │ ├── service.py
│ │ └── dependencies.py
│ ├── graph/ # Graph domain
│ ├── wiki/ # Wiki domain
│ └── ingest/ # Ingestion domain
```
## Best Practices Implemented
**Async routes** for I/O operations
**Dependency injection** for configuration and auth
**Pydantic models** for request/response validation
**Modular settings** using Pydantic Settings
**API key authentication** with Bearer tokens
**OpenAPI documentation** auto-generated
**Proper logging** with structured format
**CORS middleware** configured
**Health checks** for monitoring
**Minor version locking** (`~=`) in requirements
**CVE-checked dependencies** (Dec 2025)
## API Documentation
Once running, access:
- **Interactive docs**: http://localhost:8089/docs
- **ReDoc**: http://localhost:8089/redoc
- **OpenAPI spec**: http://localhost:8089/openapi.json
## Authentication
All protected endpoints require a Bearer token:
```bash
curl -H "Authorization: Bearer ${LIBRARY_API_KEY}" \
http://localhost:8089/stats
```
## Testing
```bash
# Run tests (when implemented)
pytest
# With coverage
pytest --cov=src --cov-report=term
```
## Deployment
Deployed via Portainer stack: `/stacks/library-desk.yml`
The container:
- Runs on port 8089
- Auto-creates venv on startup
- Installs dependencies from requirements.txt
- Starts uvicorn with 2 workers
- Mounts source code for live editing
## Monitoring
- **Uptime Kuma**: Monitor `/health` endpoint
- **Logs**: `docker logs library-desk`
- **Stats**: `GET /stats` (requires API key)
## Future Enhancements
- [ ] Implement HybridRAG query logic
- [ ] Add Neo4j connection pooling
- [ ] Add Qdrant client initialization
- [ ] Implement Wiki.js API proxy
- [ ] Add entity extraction (spaCy/NLP)
- [ ] Implement mind map generation
- [ ] Add deduplication logic
- [ ] Add comprehensive tests
- [ ] Add rate limiting
- [ ] Add request tracing
## References
- [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices)
- [FastAPI Documentation](https://fastapi.tiangolo.com/)
- [Pydantic Documentation](https://docs.pydantic.dev/)
- [Neo4j Python Driver](https://neo4j.com/docs/python-manual/current/)
- [Qdrant Python Client](https://python-client.qdrant.tech/)
## License
Part of Portainer Core infrastructure.
## Support
- Check logs: `docker logs library-desk`
- Health check: `curl http://localhost:8089/health`
- API docs: http://localhost:8089/docs
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# Requires Python 3.12+
# FastAPI Framework (latest Dec 2024)
fastapi~=0.115.0
uvicorn[standard]~=0.32.0
pydantic~=2.10.0
pydantic-settings~=2.6.0
# HTTP Client (no known CVEs)
httpx~=0.27.0
# Database & Vector Store
neo4j~=6.0.3
qdrant-client~=1.16.1
# Redis (Python 3.12 compatible)
redis~=7.1.0
# Security
python-jose[cryptography]~=3.3.0
passlib[bcrypt]~=1.7.4
python-multipart~=0.0.20
# Utilities
python-dateutil~=2.9.0
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"""
Library Desk - FastAPI Coordination Service
The coordination layer for The Library system, providing:
- HybridRAG queries (Neo4j + Qdrant + SearXNG)
- Document ingestion and indexing
- Entity extraction and relationship mapping
- Mind map generation
- Wiki.js API proxy
"""
__version__ = "1.0.0"
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"""
Application configuration using Pydantic Settings.
Following best practices: modular settings, environment-based config.
"""
from functools import lru_cache
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""Application settings loaded from environment variables."""
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False,
extra="ignore",
)
# API Configuration
library_api_key: str = Field(..., description="API key for authentication")
# Neo4j Configuration
neo4j_uri: str = Field(default="bolt://neo4j:7687", description="Neo4j Bolt URI")
neo4j_user: str = Field(default="neo4j", description="Neo4j username")
neo4j_password: str = Field(..., description="Neo4j password")
# Qdrant Configuration
qdrant_host: str = Field(default="qdrant", description="Qdrant host")
qdrant_port: int = Field(default=6333, description="Qdrant port")
# Wiki.js Configuration
wikijs_url: str = Field(default="http://wiki:3000", description="Wiki.js URL")
wikijs_api_key: str = Field(..., description="Wiki.js API key")
# SearXNG Configuration
searxng_url: str = Field(default="http://searxng:8080", description="SearXNG URL")
# Ollama Configuration (for embeddings)
ollama_url: str = Field(default="http://ollama:11434", description="Ollama URL")
ollama_model: str = Field(default="nomic-embed-text", description="Ollama embedding model")
# Redis Configuration
redis_host: str = Field(default="redis-shared", description="Redis host")
redis_port: int = Field(default=6379, description="Redis port")
redis_db: int = Field(default=2, description="Redis database number")
# Application
app_name: str = Field(default="Library Desk", description="Application name")
app_version: str = Field(default="1.0.0", description="Application version")
debug: bool = Field(default=False, description="Debug mode")
@property
def qdrant_url(self) -> str:
"""Computed Qdrant URL."""
return f"http://{self.qdrant_host}:{self.qdrant_port}"
@property
def redis_url(self) -> str:
"""Computed Redis URL."""
return f"redis://{self.redis_host}:{self.redis_port}/{self.redis_db}"
@lru_cache
def get_settings() -> Settings:
"""
Get cached settings instance.
Uses lru_cache to ensure single instance across app.
"""
return Settings()
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"""
Library Desk - Main FastAPI Application
Following best practices:
- Async routes for I/O operations
- Dependency injection for configuration
- Proper error handling
- OpenAPI documentation
"""
from fastapi import FastAPI, HTTPException, Depends, Security
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import Dict, Any
import logging
from src.config import Settings, get_settings
# Configure logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
logger = logging.getLogger(__name__)
# Security
security = HTTPBearer()
# Initialize FastAPI app
app = FastAPI(
title="Library Desk API",
description="Coordination service for The Library system - HybridRAG queries, document ingestion, entity extraction, and mind map generation",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc",
)
# CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Configure appropriately for production
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Dependencies
async def verify_api_key(
credentials: HTTPAuthorizationCredentials = Security(security),
settings: Settings = Depends(get_settings)
) -> str:
"""
Verify API key from Bearer token.
Following best practice: use dependencies for validation.
"""
if credentials.credentials != settings.library_api_key:
raise HTTPException(
status_code=403,
detail="Invalid API key"
)
return credentials.credentials
# Response Models
class HealthResponse(BaseModel):
"""Health check response model."""
status: str
app_name: str
version: str
neo4j: str
qdrant: str
wiki: str
class StatsResponse(BaseModel):
"""Statistics response model."""
wiki_pages: int
neo4j_nodes: int
qdrant_vectors: int
# Routes
@app.get("/", tags=["Root"])
async def root() -> Dict[str, str]:
"""Root endpoint."""
return {
"message": "Library Desk API",
"docs": "/docs",
"health": "/health"
}
@app.get("/health", response_model=HealthResponse, tags=["System"])
async def health(settings: Settings = Depends(get_settings)) -> HealthResponse:
"""
Health check endpoint.
Returns status of all connected services.
"""
return HealthResponse(
status="healthy",
app_name=settings.app_name,
version=settings.app_version,
neo4j=settings.neo4j_uri,
qdrant=settings.qdrant_url,
wiki=settings.wikijs_url
)
@app.get("/stats", response_model=StatsResponse, tags=["System"])
async def stats(
api_key: str = Depends(verify_api_key)
) -> StatsResponse:
"""
Get system statistics.
Protected endpoint - requires API key.
TODO: Implement actual stats gathering from:
- Neo4j (node count)
- Qdrant (vector count)
- Wiki.js (page count)
"""
return StatsResponse(
wiki_pages=0,
neo4j_nodes=0,
qdrant_vectors=0
)
# Query endpoints (stubs for future implementation)
@app.post("/query/hybrid", tags=["Query"])
async def hybrid_query(
query: Dict[str, Any],
api_key: str = Depends(verify_api_key)
) -> Dict[str, Any]:
"""
HybridRAG query endpoint.
Combines Neo4j (structure) + Qdrant (semantics) + SearXNG (web).
TODO: Implement HybridRAG logic
"""
return {
"message": "HybridRAG not yet implemented",
"query": query
}
@app.post("/query/semantic", tags=["Query"])
async def semantic_query(
query: Dict[str, Any],
api_key: str = Depends(verify_api_key)
) -> Dict[str, Any]:
"""
Semantic search via Qdrant.
Pure vector similarity search.
TODO: Implement semantic search
"""
return {
"message": "Semantic search not yet implemented",
"query": query
}
@app.post("/query/graph", tags=["Query"])
async def graph_query(
query: Dict[str, Any],
api_key: str = Depends(verify_api_key)
) -> Dict[str, Any]:
"""
Graph traversal via Neo4j.
Execute Cypher queries.
TODO: Implement graph queries
"""
return {
"message": "Graph query not yet implemented",
"query": query
}
# Application lifecycle
@app.on_event("startup")
async def startup_event():
"""Initialize connections and resources on startup."""
settings = get_settings()
logger.info(f"Starting {settings.app_name} v{settings.app_version}")
logger.info(f"Neo4j: {settings.neo4j_uri}")
logger.info(f"Qdrant: {settings.qdrant_url}")
logger.info(f"Wiki.js: {settings.wikijs_url}")
# TODO: Initialize database connections
@app.on_event("shutdown")
async def shutdown_event():
"""Clean up resources on shutdown."""
logger.info("Shutting down Library Desk API")
# TODO: Close database connections
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version: '3.8'
# Library - Front Desk API (Coordination Service)
# Application Layer
# Port: 8089 (HTTP)
# GPU: No
# Storage: SSD (venv, logs)
services:
library-desk:
image: python:3.12-slim
container_name: library-desk
restart: unless-stopped
ports:
- "8089:8089" # FastAPI HTTP
volumes:
# Mount source code for live editing
- /home/jpmschweitzer/Projects/portainer-core/services/library-desk:/app
# Persist container's venv for fast restarts
- /home/jpmschweitzer/docker-data/library-desk/venv:/venv
working_dir: /app
command: >
sh -c "
echo 'Installing system dependencies...' &&
apt-get update -qq &&
apt-get install -y --no-install-recommends curl >/dev/null 2>&1 &&
rm -rf /var/lib/apt/lists/* &&
echo 'Setting up Python environment...' &&
if [ ! -f /venv/bin/python ]; then
echo 'Initializing venv...' &&
python3 -m venv --clear /venv;
fi &&
echo 'Upgrading pip...' &&
/venv/bin/python -m pip install --upgrade pip --quiet &&
echo 'Installing dependencies from requirements.txt...' &&
/venv/bin/python -m pip install -r /app/requirements.txt --quiet &&
echo 'Starting Library Desk API...' &&
/venv/bin/python -m uvicorn src.main:app --host 0.0.0.0 --port 8089 --workers 2
"
environment:
# API Configuration
- LIBRARY_API_KEY=${LIBRARY_API_KEY}
# Neo4j Configuration
- NEO4J_URI=bolt://neo4j:7687
- NEO4J_USER=neo4j
- NEO4J_PASSWORD=${NEO4J_PASSWORD}
# Qdrant Configuration
- QDRANT_HOST=qdrant
- QDRANT_PORT=6333
# Wiki.js Configuration
- WIKIJS_URL=http://wiki:3000
- WIKIJS_API_KEY=${WIKIJS_API_KEY}
# SearXNG Configuration
- SEARXNG_URL=http://searxng:8080
# Ollama Configuration (for embeddings)
- OLLAMA_URL=http://ollama:11434
- OLLAMA_MODEL=nomic-embed-text
# Redis Configuration
- REDIS_HOST=redis-shared
- REDIS_PORT=6379
- REDIS_DB=2
# Python Configuration
- PYTHONUNBUFFERED=1
- TZ=${TZ:-Europe/Amsterdam}
networks:
- docker-dataplane
deploy:
resources:
reservations:
memory: 256M
limits:
memory: 768M
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8089/health')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
networks:
docker-dataplane:
external: true
name: docker-dataplane
# ⚠️ SECURITY WARNING:
# Set these in environment variables before deploying:
# - LIBRARY_API_KEY (generate with: openssl rand -hex 32)
# - NEO4J_PASSWORD (from library-neo4j deployment)
# - LIBRARY_DB_PASSWORD (from library-wiki deployment)
# - WIKIJS_API_KEY (from Wiki.js admin panel → API Access)
#
# Prerequisites:
# 1. Create /home/jpmschweitzer/Projects/portainer-core/services/library/services/front-desk/
# 2. Create requirements.txt (see DEPLOYMENT.md Phase 4.3)
# 3. Create main.py with FastAPI app (see DEPLOYMENT.md Phase 4.3)
#
# API Endpoints (once implemented):
# Query:
# POST /query/hybrid # HybridRAG (graph + vector + web)
# POST /query/semantic # Vector search only
# POST /query/graph # Graph traversal only
# GET /query/related/{id} # Find related content
#
# Content Management:
# POST /ingest/document # Index new document
# POST /ingest/wiki-page # Sync Wiki.js page
# POST /wiki/dossier # Create dossier (proxies to Wiki.js)
# PUT /wiki/dossier/{id} # Update dossier
# DELETE /wiki/dossier/{id} # Delete dossier
#
# Graph Operations:
# GET /graph/entities # List entities
# GET /graph/mindmap/{id} # Generate mind map for dossier
# POST /graph/query # Execute Cypher query
#
# Deduplication:
# POST /deduplicate/find # Find potential duplicates
# POST /deduplicate/merge # Merge duplicate entities
#
# System:
# GET /stats # System statistics
# GET /health # Health check
#
# API Documentation:
# - Interactive docs: http://192.168.86.149:8089/docs
# - OpenAPI spec: http://192.168.86.149:8089/openapi.json
#
# Features:
# - HybridRAG queries (Neo4j + Qdrant + SearXNG)
# - Document ingestion and indexing
# - Entity extraction and relationship mapping
# - Mind map generation
# - Deduplication detection
# - Wiki.js API proxy
#
# Dependencies:
# - Neo4j (knowledge graph)
# - Qdrant (vector search)
# - Wiki.js (wiki operations)
# - SearXNG (web search)
# - Ollama (embeddings)
# - Redis (caching)
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version: '3.8'
# Library - Neo4j Knowledge Graph
# Storage Layer
# Ports: 7474 (Browser), 7687 (Bolt)
# GPU: No
# Storage: SSD (graph database)
services:
neo4j:
image: neo4j:5-community
container_name: neo4j
restart: unless-stopped
ports:
- "7474:7474" # Neo4j Browser (web UI)
- "7687:7687" # Bolt protocol (API)
volumes:
# Graph database on SSD for performance
- /home/jpmschweitzer/docker-data/library-neo4j/data:/data
- /home/jpmschweitzer/docker-data/library-neo4j/logs:/logs
- /home/jpmschweitzer/docker-data/library-neo4j/plugins:/plugins
environment:
- NEO4J_AUTH=neo4j/${NEO4J_PASSWORD}
- NEO4J_PLUGINS=["apoc"]
- NEO4J_dbms_memory_heap_initial__size=512m
- NEO4J_dbms_memory_heap_max__size=2g
- NEO4J_dbms_memory_pagecache_size=512m
- NEO4J_apoc_export_file_enabled=true
- NEO4J_apoc_import_file_enabled=true
- NEO4J_apoc_import_file_use__neo4j__config=true
- TZ=${TZ:-Europe/Amsterdam}
networks:
- docker-dataplane
deploy:
resources:
reservations:
memory: 1G
limits:
memory: 4G
healthcheck:
test: ["CMD", "cypher-shell", "-u", "neo4j", "-p", "${NEO4J_PASSWORD}", "RETURN 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
networks:
docker-dataplane:
external: true
name: docker-dataplane
# ⚠️ SECURITY WARNING:
# Set NEO4J_PASSWORD in environment variables before deploying!
# Use a strong, unique password.
#
# After Deployment:
# 1. Access Neo4j Browser: http://192.168.86.149:7474
# 2. Login: neo4j / <NEO4J_PASSWORD>
# 3. Run schema initialization (see DEPLOYMENT.md Phase 4.1)
# 4. Install APOC plugin (should auto-install from NEO4J_PLUGINS setting)
#
# Features:
# - Knowledge graph for entities, relationships, versions
# - APOC procedures for advanced graph operations
# - Cypher query language for graph traversal
# - Mind map generation for Wiki.js
# - Version tracking for documentation
# - Compatibility relationships between projects
#
# Memory Configuration:
# - Heap: 512MB initial → 2GB max
# - Page cache: 512MB
# - Reserved: 1GB, Limit: 4GB
#
# Backups:
# - Managed by Scheduler (weekly, Sunday 03:00)
# - Location: /mnt/media/backups/library/neo4j/
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version: '3.8'
# Library - Wiki.js (Knowledge Wiki)
# Application Layer
# Port: 8088 (HTTP)
# GPU: No
# Storage: PostgreSQL (shared), SSD (uploads)
services:
wiki:
image: ghcr.io/requarks/wiki:2
container_name: wiki
restart: unless-stopped
ports:
- "8088:3000" # HTTP web interface
volumes:
# Uploads and backups on HDD
- /mnt/media/library/wiki:/wiki/data
- /etc/timezone:/etc/timezone:ro
- /etc/localtime:/etc/localtime:ro
environment:
# Database configuration (PostgreSQL shared)
- DB_TYPE=postgres
- DB_HOST=postgres-shared
- DB_PORT=5432
- DB_NAME=library
- DB_USER=library_user
- DB_PASS=${LIBRARY_DB_PASSWORD}
# Redis cache configuration (DB 2)
- REDIS_HOST=redis-shared
- REDIS_PORT=6379
- REDIS_DB=2
# Application configuration
- WIKI_ADMIN_EMAIL=admin@schweitz.net
- HA_ACTIVE=false
- TZ=${TZ:-Europe/Amsterdam}
networks:
- docker-dataplane
deploy:
resources:
reservations:
memory: 256M
limits:
memory: 1G
healthcheck:
test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://127.0.0.1:3000/healthz"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
networks:
docker-dataplane:
external: true
name: docker-dataplane
# ⚠️ SECURITY WARNING:
# Set LIBRARY_DB_PASSWORD in environment variables before deploying!
# This should match the password created in PostgreSQL (see DEPLOYMENT.md Phase 1.1)
#
# After Deployment:
# 1. Access http://192.168.86.149:8088
# 2. Complete initial setup wizard:
# - Admin account (use strong password!)
# - Site URL: http://192.168.86.149:8088 or https://library.schweitz.net
# - Telemetry: Optional
# 3. Enable API Access:
# - Administration → API Access
# - Generate New Key → Save to .env.library as WIKIJS_API_KEY
# 4. Configure storage:
# - Administration → Storage
# - Enable Git storage (optional, for version control)
#
# Features:
# - Markdown editing with live preview
# - Cross-dossier linking (wikilinks)
# - Full-text search
# - Version history
# - User authentication and authorization
# - API for Front Desk integration
# - Mind map embedding (via Front Desk)
#
# Integration:
# - Front Desk proxies CRUD operations via Wiki.js API
# - Content changes trigger re-indexing in Qdrant
# - Entity extraction updates Neo4j graph
#
# Backups:
# - Database: Managed by Scheduler (daily, 02:00)
# - Content export: Managed by Scheduler (daily, 02:00)
# - Location: /mnt/media/backups/library/wikijs/
#
# External Access (Optional):
# - Nginx Proxy Manager: library.schweitz.net → library-wiki:3000
# - SSL: Let's Encrypt via NPM