This video explains how to effectively break down large documents into smaller, manageable chunks to improve retrieval and processing in Retrieval-Augmented Generation (RAG) systems. It covers the importance of chunk size and overlap, demonstrating how these factors influence the accuracy and efficiency of knowledge retrieval.
Frequently Asked Questions
The ideal chunk size depends on the document type and use case, but generally, chunks should be large enough to preserve meaningful context while small enough to allow efficient processing. Experimentation is often needed to find the optimal size.
Building Knowledge Systems