A Generative AI Engineer is preparing a knowledge base of long-form product manuals for a RAG chatbot. During evaluation, users report that answers frequently seem 'cut off' or miss information that spans across paragraph boundaries. The team is using fixed-size chunking of 500 tokens with zero overlap. Which adjustment to the chunking strategy is MOST likely to resolve this issue while keeping chunk sizes manageable?