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AI Interview MasterySeniorNEW
Advanced RAG
Hybrid search, re-ranking, and chunking strategies asked in senior AI interviews. Go beyond basic similarity search to production-grade retrieval with query rewriting, cross-encoder re-ranking, and GraphRAG.
4.9rating1,430 students1h 20m total14 lessons
What you'll learn
Implement hybrid search with BM25 + vector similarity and RRF merging
Apply cross-encoder re-ranking to improve retrieval precision
Use query expansion and multi-query retrieval for better recall
Implement HyDE: Hypothetical Document Embeddings
Design a GraphRAG pipeline for structured knowledge
Measure and improve retrieval quality with RAGAS
Final Project
Build an advanced RAG pipeline that combines hybrid search, cross-encoder re-ranking, and HyDE — measure improvement vs baseline
Curriculum
14 lessons · 1h 20mCourse Info
Lessons14 lessons
Total time1h 20m
LevelSenior
Students1,430
Rating4.9 / 5.0