{
  "id": "topic:chunking-strategies",
  "_kind": "Topic",
  "_file": "domain/topics/topics-knowledge-patterns.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Chunking Strategies",
    "description": "Chunking Strategies as a cross-cutting topic — methods for splitting\ndocuments into meaningful units for embedding and retrieval. Covers\nfixed-size chunking with token or character windows, semantic chunking\nthat detects topic boundaries using embedding similarity, parent-child\nchunking that maintains hierarchical document structure, sliding window\napproaches with configurable overlap, and code-aware chunking that\nrespects AST boundaries. The choice of strategy directly impacts\nretrieval precision, recall, and the coherence of retrieved context\npassed to LLMs.\n"
  },
  "outgoingEdges": [
    {
      "from": "topic:chunking-strategies",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    },
    {
      "from": "topic:chunking-strategies",
      "to": "specialization:ai-agents-conversational",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": [
    {
      "from": "domain:knowledge-management",
      "to": "topic:chunking-strategies",
      "kind": "contains"
    },
    {
      "from": "retrieval-pipeline:parent-child-retrieval",
      "to": "topic:chunking-strategies",
      "kind": "relates_to_topic"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:chunking-strategies",
      "kind": "related_topics"
    }
  ]
}