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I built Search/Recsys that learns from feedback

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DNA is a search engine that learns from your feedback. Bring your items and any embedding model, score the results with an LLM or your users

Hashgrid DNA: You search. DNA learns. dna Get a key You search. DNA learns. 6,930 top results found · 48,510 LLM calls saved LLM calls saved compared with RAG + Reranker Illustration: a double helix whose strands are your searches and your items. DNA proposes results between them; results your feedback confirms light up. Counters show top results found and the LLM calls saved compared with RAG plus a reranker. The search engine that learns from feedback. Smarter and cheaper with every search. Get a key → How it works Your models. Our search. local local vectors results scores Embedder Data in,

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