mindnet/config/types.yaml

version: 1.3 # Update für Smart Edge Allocation

# --- CHUNKING DEFINITIONEN ---
# Hier definieren wir die technischen Strategien und den Smart Edge Filter.
chunking_profiles:
  
  # 1. Standard Profile (Sliding Window, KEIN LLM-Filter)
  sliding_short:
    strategy: sliding_window
    enable_smart_edge_allocation: false # Sekundärverfeinerung deaktiviert
    target: 200
    max: 350
    overlap: [30, 50]

  # 2. Smart Edge Allocation Profile (Sliding Window + LLM-Filter)
  sliding_smart_edges:
    strategy: sliding_window # Primärzerlegung: Sliding Window
    enable_smart_edge_allocation: true # SEKUNDÄRVERFEINERUNG: LLM-Filter aktiv
    target: 400
    max: 600
    overlap: [50, 80]

  # 3. Strukturierte Profile (By Heading, KEIN LLM-Filter)
  structured_strict:
    strategy: by_heading
    enable_smart_edge_allocation: false 
    split_level: 2
    max: 600
    target: 400
    overlap: [50, 80]

  # 4. Strukturierte Profile (By Heading + LLM-Filter)
  structured_smart_edges:
    strategy: by_heading # Primärzerlegung: Harte Trennung
    enable_smart_edge_allocation: true # SEKUNDÄRVERFEINERUNG: LLM-Filter aktiv
    split_level: 2
    max: 600
    target: 400
    overlap: [50, 80]
    
defaults:
  retriever_weight: 1.0
  chunking_profile: sliding_standard # Fallback Profil
  edge_defaults: [] 

types:
  # --- WISSENSBAUSTEINE ---
  concept:
    chunking_profile: sliding_smart_edges # Nutzt Kantenfilterung
    retriever_weight: 0.60
    edge_defaults: ["references", "related_to"]

  source:
    chunking_profile: sliding_short # Kein LLM-Filter
    retriever_weight: 0.50
    edge_defaults: [] 

  glossary:
    chunking_profile: sliding_short
    retriever_weight: 0.40
    edge_defaults: ["related_to"]

  # --- IDENTITÄT & PERSÖNLICHKEIT ---
  profile:
    chunking_profile: structured_smart_edges # Strukturiert + Kantenfilterung
    retriever_weight: 0.70
    edge_defaults: ["references", "related_to"]

  value:
    chunking_profile: structured_smart_edges
    retriever_weight: 1.00
    edge_defaults: ["related_to"]

  principle:
    chunking_profile: structured_smart_edges
    retriever_weight: 0.95
    edge_defaults: ["derived_from", "references"]

  belief:
    chunking_profile: sliding_short
    retriever_weight: 0.90
    edge_defaults: ["related_to"]

  experience:
    chunking_profile: sliding_smart_edges
    retriever_weight: 0.90
    edge_defaults: ["derived_from", "references"]

  # --- STRATEGIE & ENTSCHEIDUNG ---
  goal:
    chunking_profile: sliding_smart_edges
    retriever_weight: 0.95
    edge_defaults: ["depends_on", "related_to"]

  decision:
    chunking_profile: structured_smart_edges 
    retriever_weight: 1.00
    edge_defaults: ["caused_by", "references"]

  risk:
    chunking_profile: sliding_short
    retriever_weight: 0.85
    edge_defaults: ["related_to", "blocks"]

  milestone:
    chunking_profile: sliding_short
    retriever_weight: 0.70
    edge_defaults: ["related_to", "part_of"]

  # --- OPERATIV ---
  project:
    chunking_profile: sliding_smart_edges
    retriever_weight: 0.97
    edge_defaults: ["references", "depends_on"] 

  task:
    chunking_profile: sliding_short
    retriever_weight: 0.80
    edge_defaults: ["depends_on", "part_of"]

  journal:
    chunking_profile: sliding_smart_edges # Fließtext + Kantenfilterung
    retriever_weight: 0.80
    edge_defaults: ["references", "related_to"]