Author(s): Anuar Sharafudinov Originally published on Towards AI. Credits: GPT4.1 Introduction In previous article, we addressed a critical limitation of today’s Retrieval-Augmented Generation (RAG) systems: missing contextual information due to independent chunking. However, this is just one of RAG’s shortcomings. Another significant …

Author(s): Anuar Sharafudinov Originally published on Towards AI. Credits: GPT4o The rise of the Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent applications. At its core, RAG is all about efficiently turning large chunks of text into actionable embeddings and then …