Content chunking is the practice of dividing long material into smaller, coherent sections. In retrieval and RAG systems, well-designed chunks improve search relevance, context selection, and the quality of generated answers.
A side-by-side comparison of Content Chunking and Context Window. Understand how preparing source material into sections differs from the amount of information a model can consider at once.