Embeddings for Medical Text Search

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Problem

Scenario

You're working on search over clinical text, where keyword matching often misses relevant notes that use different wording for the same concept. You want a representation that captures semantic similarity so related medical phrases can be matched even when the exact terms differ.

Question

How do embeddings work, and how would you use them for medical text search?

What This Tests

Understanding of dense vector representations for text
Tokenization and preprocessing for clinical language
Vector search for semantic retrieval
Trade-offs between embeddings and keyword search