Essential Chunking Techniques for Building Better LLM Applications
Essential Chunking Techniques for Building Better LLM ApplicationsImage by Author Introduction Every large language model (LLM) application that retrieves information faces a simple problem: how do you break down a 50-page document into pieces that a model can actually use? So when you’re building a retrieval-augmented generation (RAG) app, before your vector database retrieves…