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Don’t Classify—Hallucinate (Then Match): A Cheaper Way to Hit Your Real Taxonomy
machine learning Aug 14, 2026 6 min read

Don’t Classify—Hallucinate (Then Match): A Cheaper Way to Hit Your Real Taxonomy

Structured outputs work great until your taxonomy turns into a giant schema. A cheaper pattern is to ask a small model to hallucinate plausible category candidates, then map those candidates back to your real taxonomy using embeddings and vector similarity.

by ahsan
#ecommerce #embeddings #llm #pydantic #search
From Library Stacks to Semantic Search: Finding Great Non‑Fiction
ai for researchers Jul 23, 2026 7 min read

From Library Stacks to Semantic Search: Finding Great Non‑Fiction

Good nonfiction discovery used to feel like curated browsing: libraries filtered the chaos, then randomness did the rest. Semantic search recreates that browsing feel using embeddings and vector search, so users can find prize-worthy books by meaning—not just keywords.

by ahsan
#book-discovery #claude-code #embeddings #semantic-search #vector-database

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