🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
A package for parsing PDFs and analyzing their content using LLMs.
A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
A recursive text chunker that attempts to break the text on meaningful boundaries.
This project is designed to extract text from documents and prepare it for processing by Large Language Models (LLM). Implemented a feature to store and utilize text style information, enabling the program to identify and segment content based on potential headers and titles.
This Text Summarization Tool uses advanced machine learning models to create concise, meaningful summaries of lengthy texts. Built with Hugging Face Transformers and Gradio, it efficiently handles various input lengths, ideal for summarizing articles, reports, and more
An exploration of text splitting and chunking in JavaScript
A lightweight TypeScript text splitter for RAG applications
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