zeroentropy-ai/zchunk
A new chunking strategy developed by ZeroEntropy for general semantic chunking using Llama-70B.
When preparing documents for AI-powered question-answering systems, zChunk helps you break down long texts into meaningful, self-contained sections. It takes your raw documents (like legal contracts or articles) and produces intelligently segmented chunks, making it easier for AI to find precise answers. This is for anyone building or maintaining AI retrieval systems who needs to ensure their source material is perfectly organized for accurate responses.
254 stars. No commits in the last 6 months.
Use this if you need a reliable, automated way to segment various document types into semantically coherent chunks for AI retrieval, without manual rules or extensive tuning.
Not ideal if you don't use Llama-70B or similar large language models for your AI applications, or if your primary concern is chunking speed on CPU-only systems.
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254
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Language
Python
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Last pushed
Jan 28, 2025
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