chonkie and chunking-strategies
A production-ready chunking library and a research overview repository are **complements**: the latter informs the design decisions and benchmarking choices for the former, while practitioners using the former might consult the latter to understand the algorithmic tradeoffs underlying their chunking strategy.
About chonkie
chonkie-inc/chonkie
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
This is a lightweight tool for developers building Retrieval-Augmented Generation (RAG) applications. It takes various forms of text data, processes it by intelligently splitting it into smaller, meaningful parts (chunks), and then refines and embeds these chunks. The output is optimized text chunks ready to be stored in a vector database for efficient retrieval by large language models.
About chunking-strategies
ALucek/chunking-strategies
An Overview of the Latest Document Chunking Research
This project helps you prepare large text documents for use with AI systems like chatbots or question-answering tools. It takes your raw, unstructured text and breaks it down into smaller, optimized pieces that improve how accurately the AI can understand and respond to your queries. Anyone building or managing RAG (Retrieval Augmented Generation) applications, from content managers to data scientists, would find this useful.
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