ItsChrisOfficial

{
  "difficulty": "advanced",
  "title": "Advanced — Production Bot Architecture",
  "lessons": [
    {
      "id": 1,
      "title": "Full RAG (Retrieval-Augmented Generation) Pipeline",
      "goal": "Implement vector-like relevance search using TF-IDF in-browser",
      "explanation": "RAG gives your bot long-term knowledge by embedding documents and retrieving relevant chunks at query time. Without a vector DB, we use TF-IDF cosine similarity in pure JS — surprisingly effective for small knowledge bases.",
      "concepts": ["TF-IDF", "cosine similarity", "knowledge base", "chunk retrieval", "RAG"],