Re:Gemini Embedding: Powering RAG and context engineering
by Voloskaya on Thursday July 31, 2025 @02:25PM
(#44748559)
> So what is is marketing stuff about "directly into a model's working memory."? Is my mental view wrong?
Context is sometimes called working memory. But no your understanding is right: find the right document through cosine similarity (and thus through embeddings), then add the content of those docs to the context
Re:Gemini Embedding: Powering RAG and context engineering
by greymalik on Thursday July 31, 2025 @03:32PM
(#44749218)
One of the things I find confusing about this article is that the author positions RAG as being unrelated to both context engineering and vector search.
Context is sometimes called working memory. But no your understanding is right: find the right document through cosine similarity (and thus through embeddings), then add the content of those docs to the context