🚀 The Evolution of RAG: From Retrieval to Reasoning
Back in 2020, when Meta first introduced Retrieval-Augmented Generation (RAG), it was a clever hack to overcome a limitation: language models could only handle around 4,000 tokens of context. Imagine trying to fit the entire knowledge of your company’s documentation, FAQs or research papers into just a few
