Chunking divides large text, audio, or documents into smaller sections before processing. It helps AI models manage context, retrieve relevant information, and improve response accuracy.
Voice AI systems use Chunking when processing transcripts, knowledge bases, and Retrieval-Augmented Generation (RAG). Smaller chunks improve information retrieval and reduce unnecessary context passed to language models.