{
  "id": "topic:rag-pipeline-design",
  "_kind": "Topic",
  "_file": "domain/topics/topics-knowledge-fabric.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "RAG Pipeline Design",
    "description": "RAG Pipeline Design as a cross-cutting topic — retrieval-augmented\ngeneration pipeline patterns for grounding LLM responses in organizational\nknowledge. Covers document ingestion, chunking strategies, embedding model\nselection, vector store configuration, retrieval ranking, re-ranking,\ncontext window assembly, and evaluation of retrieval quality (MRR, nDCG,\nrecall@k). Spans both prototyping patterns and production-grade pipelines.\n"
  },
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      "to": "specialization:ai-agents-conversational",
      "kind": "applies_to"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:chunking-strategies",
      "kind": "related_topics"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:embedding-pipeline",
      "kind": "related_topics"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:dense-retrieval",
      "kind": "related_topics"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:hybrid-retrieval",
      "kind": "related_topics"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:re-ranking",
      "kind": "related_topics"
    },
    {
      "from": "topic:rag-pipeline-design",
      "to": "topic:agentic-rag",
      "kind": "related_topics"
    }
  ],
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}