Advanced Features

Notes Embedding

IWE can embed referenced documents while preserving structure:

Embedding process:

1. Identify reference nodes
2. Load target document graph
3. Adjust header levels for context
4. Insert content maintaining hierarchy

Header level adjustment:

• Embedded under h2 → all headers +2 levels
• h1 becomes h3, h2 becomes h4, etc.
• Maintains document structure integrity

Graph Transformations

All document operations are implemented as graph transformations:

• Normalization: Graph → normalized graph → markdown
• Reference resolution: Update reference targets across graph
• Content extraction: Subgraph extraction with proper boundaries
• Document merging: Graph composition with conflict resolution

Parallel Processing

IWE leverages Rayon for parallel operations:

// Parallel document processing
let documents: Vec<(Key, Document)> = content
    .par_iter()
    .map(|(k, v)| (Key::name(k), reader.document(v)))
    .collect();

// Parallel search path generation  
let search_paths = self.paths()
    .par_iter()
    .map(|path| generate_search_path(path))
    .collect();

This architecture enables IWE to handle large document collections efficiently while maintaining real-time responsiveness for editor integration.