Explain how information retrieval systems match queries to documents using bag-of-words and term-document matrices
Compute and interpret tf-idf relevance scores for ranked retrieval
Evaluate retrieval systems using precision, recall, precision-recall curves, interpolated precision, and mean average precision
Describe how dense vector retrieval overcomes the exact-word-overlap limitations of tf-idf and BM25
Explain how retrieval-augmented generation integrates retrieval with language model generation
Evaluate question-answering and RAG systems, including the use of knowledge citations and QA datasets