Many developers have been using retrieval-augmented generation (RAG) with large-scale context corpus to build GenAI applications and tame problems such as AI hallucinations faced by general-purpose large language models (LLMs).
Now long context models are emerging like Gemini with a context window of 2 million tokens, and its potential benefits make you wonder whether you should ditch RAG altogether. The key to dealing with this dilemma is to understand the pros and cons of using a long context model and make an informed decision about its…
