{
  "$type": "site.standard.document",
  "contributors": [
    {
      "did": "did:plc:igunvse2uemkwmci3igoxhu5",
      "displayName": "Oz Akan",
      "role": "author"
    }
  ],
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  "description": "Understanding the differences between RAG and MCP, when to use each, and how they work together",
  "path": "/techs/01-rag-vs-llm",
  "publishedAt": "2025-10-31T21:00:00.000Z",
  "site": "at://did:plc:igunvse2uemkwmci3igoxhu5/site.standard.publication/luminary-blog",
  "tags": [
    "aiml"
  ],
  "textContent": "Retrieval-Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by allowing them to fetch relevant information from external data sources (such as documents, databases, or knowledge bases) at query time. The process typically involves:",
  "title": "RAG vs MCP: Complementary AI Approaches"
}