A super simple text splitter for LLM
A super simple text splitter for RAG applications
A lightweight text splitter
Text splitter for working with AWS Polly TTS.
A tree-based markdown text splitter that understands document structure to create semantically meaningful chunks for RAG applications
Javascript text splitter for easy and seo friendly animations, allows text, word, spaces and special characters splitting.
advanced text splitter
Not just your avarage text splitter.
Transforms text into chunks of tokens using Langchain's character text splitter.
Transforms text into chunks of tokens using a sentence text splitter.
Text splitter + embedding + vector search (stub)
Transforms text into chunks of tokens using Langchain's recursive character text splitter.
A JavaScript library that breaks strings into their individual user-perceived characters (including emojis!)
A semantic text splitter that intelligently splits text by punctuation, preserves special patterns, and supports markdown content processing with multilingual support
N8N node for semantic text splitting
User interface primitives for console applications
split {japanese, english} text into sentences.
Core logic for the splitter widget implemented as a state machine
Split email messages into an object stream
A text-highlight and text-splitter component for react.It's a customizable textmodifier component
A fast, native Node.js module to extract and process text from PDF files using Rust and N-API. Built with [Tokio](https://tokio.rs/), [`pdf-extract`](https://docs.rs/pdf-extract), and [`text-splitter`](https://crates.io/crates/text-splitter), this package
Split a LineString by another GeoJSON Feature.
Openai prompt splitter. Dividing large texts into manageable parts for processing with OpenAI APIs.
A simple split layout for React and modern browsers
Split text into semantic chunks, up to a desired chunk size. Supports calculating length by characters and tokens, and is callable from Rust and Python.
AST-aware code chunking and late chunking for RAG
A Rust crate designed to extract, clean, and convert web content from URLs found in text messages into clean Markdown format. Originally created as an auxiliary component for Retrieval-Augmented Generation (RAG) solutions to process URLs submitted by users.
AST-aware code chunking and late chunking for RAG
A semantic markdown document loader and splitter for RAG pipelines
Split code into semantic chunks using tree-sitter
AI-native text chunking — recursive, markdown-aware, and semantic splitting with token-accurate boundaries
A local AI in memory RAG for markdown files in a folder exposed as MCP
Token-aware, multi-format text chunking library with language-aware semantic splitting
A Rust library for splitting text into chunks with overlap, designed for handling large amounts of text efficiently. Implementation is identical to langchain's CharacterTextSplitter
Text Splitter for Large Language Model Datasets.
Port of langchain's text splitters
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