SMRTR summary
Instead of sending huge lists of valid categories to an LLM, a smarter approach lets the LLM invent fake classifications, then matches them to real ones using embeddings. This cuts costs, avoids token limits, and still accurately maps queries like "wood coffee table" to the correct product category.
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