RAG and search
How Etsy Uses LLMs to Improve Search Relevance
Our short summary of Etsy’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on etsy.com (opens in a new tab)Problem
Buyers saw search results that were close but not exactly what they wanted, hurting satisfaction.
Solution
They added a semantic relevance layer that uses text embeddings to match queries with listings, complementing click‑based signals for better ranking.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on etsy.com (opens in a new tab)
Qdrant