A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results,…
A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results, inefficiency, and reduced business value. It determines how effectively relevant information is fetched for accurate AI responses. With so many options available—page-level, section-level, or token-based chunking with various sizes—how do…
