Six Lessons From Building an AI-Powered Marketplace Search Engine
SMRTR summary
Building an AI-powered multilingual marketplace search engine revealed that most failures came not from the AI itself, but from surrounding code. Silent bugs, like a price filter passing cents instead of dollars and a regex mangling words like "newborn," caused bad results for months. Ultimately, caching searches cut load times from 7 seconds to 0.2, boosting conversions more than any AI improvement.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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