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Unlocks after Module 7The AI Engineering Program

Module 8: RAG Engineering

Build retrieval systems that answer from company documents with citations, in English and Indian languages, and prove how often they retrieve the right source.

30guided hours
13lessons
8 of 13in the program
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Lessons

13 lessons, in order. Each one unlocks when you finish the one before it.

  1. 8.1
    Why RAG, and when not to use it
  2. 8.2
    Parsing real documents: PDFs, tables and scanned pages
  3. 8.3
    Chunking strategies and their trade-offs
  4. 8.4
    Embeddings and vector databases (Chroma, Qdrant, pgvector)
  5. 8.5
    Hybrid search: keywords plus vectors
  6. 8.6
    Reranking
  7. 8.7
    Query rewriting and routing
  8. 8.8
    Grounded answers with citations
  9. 8.9
    Multilingual RAG for Indian languages
  10. 8.10
    Text-to-SQL: answering questions from databases
  11. 8.11
    Graph-based retrieval: an introduction
  12. 8.12
    Measuring retrieval: recall@k and MRR
  13. 8.13
    Module project
PreviousModule 7: AI-Native Engineering with Coding AgentsNextModule 9: Evals, Guardrails & AI Security

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AI vs ML vs DL vs GenAI: deep notes, a hands-on lab and a quiz. No card. No catch.

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