Embeddings from First Principle : How “Kitten” finds “Cat” (and “Gato”)
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RAG series · Part 1 TL;DR An embedding is a list of numbers that represents the meaning of a piece of text. Similar meanings → nearby vectors. Cosine similarity measures how close they are. This is the "R" (retrieval) in RAG. Pick the wrong embedding model and your RAG fails silently in other langu…
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- 2026-10-13 05:01 · DEV Community — AI
Embeddings from First Principle : How “Kitten” finds “Cat” (and “Gato”)