zChunk Leverages Large Models for Intelligent Semantic Chunking
zChunk is a new chunking strategy developed by ZeroEntropy, whose core technology is based on Llama-70B, an advanced bigram model. Unlike traditional fixed-length chunking or simple rule-based chunking, zChunk realizes semantic chunking through intelligent hints generated by the big model. This approach allows the system to understand the deep semantic structure of document content rather than relying only on surface features. In practice, zChunk inserts special 'segment' tags to delineate content units, ensuring that each chunk contains complete and independent semantic information.
The innovation of this technology is to introduce the semantic comprehension capability of large language models into the field of document processing.Llama-70B is able to recognize the logical division points in a document, such as segmentation at the 'Section' of a legal document, by analyzing the context. This intelligent comprehension-based chunking is particularly suitable for processing complex professional documents, and can effectively solve the limitations of conventional methods in dealing with semantic continuity. Test data shows that this chunking approach performs well on the LegalBenchConsumerContractsQA dataset, with a significantly better signal-to-noise ratio than the traditional chunking approach.
This answer comes from the articlezChunk: a generic semantic chunking strategy based on Llama-70BThe
