ML design for retrieval: embeddings, hybrid search and ranking
Design the machine learning behind the retrieval stage of a question-answering system. Discuss how you train the embedding model, how retrieval combines dense and keyword search, how results are re-ranked, and how you measure each stage offline and online.
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