Description
Large documents can be split into chunks for retrieval, embedding, summarization, and LLM context windows. AI engineers use these utilities to prepare text pipelines and knowledge-base ingestion. Chunking can leak sensitive passages into prompts or indexes, so source documents and outputs need review.