Which citation generation layer supports source attribution with tight context window limits?

A retrieval-augmented generation (RAG) citation layer is typically the one that supports source attribution while staying within tight context window limits.

Why:

• It retrieves only the most relevant passages from source documents instead of loading everything.
• It can attach citations/metadata to generated claims.
• It works well when the model has a small context budget, because it compresses the evidence down to a few snippets.

If you mean a specific product or framework, tell me which stack you’re comparing and I can point to the exact layer/component.