embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.
RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
Gives concrete model picks per retrieval use case backed by live API checks of price, context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →, and dimensions, cutting the guesswork out of choosing an embeddingA list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.Full definition → model for a new index.
