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MSchunker is a lightweight, structure-aware, deterministic text chunker designed for modern LLM pipelines to convert long documents into LLM-ready chunks. It preserves semantic boundaries by respecting sections, paragraphs, and sentences, and offers rich metadata, task-aware defaults, and optional token overlap for cross-chunk continuity. The tool is optimized for retrieval-augmented generation, question answering, summarization, and memory systems, with a clean chunk_text API and no heavy NLP dependencies.
AI named MSchunker in February 2026.