Choosing an Embedding Model for RAG: A Beginner Guide
In RAG, an embedding model turns text into a list of numbers (a vector) so similar meanings sit near each other. Your question becomes a vector; each document chunk is already a vector; search finds the closest chunks. Pick a weak or mismatched model and retrieval fails before the LLM ever answers.…
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- 2026-11-14 16:06 · DEV Community — AI
Choosing an Embedding Model for RAG: A Beginner Guide