yoo guys for a week i was trying to understand all the things related to RAG and everything and i found out it is kinda crazy how it work and i wanted to see that is there any weakness to RAG like ofcourse the whole AI is kinda weak on content window , memory and other thing but what happen's with rag this whole blog is about that
Where RAG Fails
now a days Artificial Intelligence has become incredibly good at answering questions. like when i Ask ChatGPT to explain quantum physics, summarize a research paper, or help debug your code, and it often gives impressive answers like they are really crazy ans and also quick.
But there's a catch.
Large Language Models (LLMs) don't actually "know" everything (bhulla). They generate answers based on patterns learned during training, and that training eventually becomes outdated (kal ka maal). They also cannot magically access your company's private documents or the latest information on the internet.
