🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

text-splitter 开源项目推荐(59 个)
text-splitter 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 59 个仓库ChatGPT PROMPTs Splitter. Tool for safely process chunks of up to 15,000 characters per request
文本分块的全神经方法
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library
A local, open-source visual workspace for RAG document preparation: inspect PDF conversion, refine Markdown, compare chunking strategies, and enrich chunks before indexing.
🍱 Semantically create chunks from large document for passing to LLM workflows
A sentence splitting (sentence boundary disambiguation) library for Go. It is rule-based and works out-of-the-box.
An agent with human in the loop that can search the web for information while bypassing bot detection for private sites.
SpltJS for React
JChunk is a lightweight and flexible library designed to provide multiple strategies for text chunking within Java applications
Header-aware chunking for RAG, plus mk.diagnose: test on your own documents whether to spend on the retriever, a reranker or LLM enrichment. Zero dependencies. Code for arXiv:2603.23533.
We compared LangChain, Fixie, and Marvin
A lightweight TypeScript text splitter for RAG applications
In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini LLM
Chunking that understands who is speaking. Parse any transcript, chunk it without ever splitting a speaker turn. Zero dependencies.
An exploration of text splitting and chunking in JavaScript
Split and analyze text files
Zero-dependency, markdown- and code-aware text chunker for RAG and LLM context windows: token budgets, overlap, and heading breadcrumbs.
Free AI Prompt Splitter - Split large documents into chunks for ChatGPT, Claude, GPT-4. Supports PDF, TXT, MD files. Smart token counting & overlap control.
A comprehensive repository to learn and implement Retrieval-Augmented Generation (RAG) from scratch using LangChain. It covers the full RAG pipeline including Document Loaders, Text Splitters, Embeddings, Vector Databases, and Retrievers with practical examples and step-by-step explanations.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/text-splitter。
- 该话题在 GitHub 上共有 59 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6719 Star,覆盖 7 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。