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Semantic search powered by embeddings and LLMs is now the standard for any serious product. This course teaches you to build, evaluate, and optimize semantic search systems at scale.

✅ What’s Inside:

  1. Why Keyword Search Falls Short
  2. Embedding Models for Search
  3. Similarity Functions Compared
  4. Building a Basic Semantic Engine
  5. Hybrid Search Architecture
  6. Query Expansion Techniques
  7. Reranking Models
  8. Spell Correction and Synonyms
  9. Search Evaluation Metrics
  10. Personalization Layer
  11. A/B Testing Search
  12. Project: Full-Stack Semantic Search Product