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RAG Text Chunker — heading & sentence aware, Japanese ready

Split Markdown or plain text into retrieval-ready chunks for RAG pipelines: cuts at headings, packs whole sentences up to a size limit with optional overlap, and tags every chunk with its heading breadcrumb. Handles Japanese sentence boundaries. No LLM cost.

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from $0.20 / 1,000 results

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Shinobu Otani

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Configure MCP server with RAG Text Chunker — heading & sentence aware, Japanese ready

Get a ready-to-use configuration for your MCP client with the RAG Text Chunker — heading & sentence aware, Japanese ready Actor preconfigured at mcp.apify.com?tools=shoebill-dev27/rag-text-chunker .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Text Splitter & Chunker for RAG / LLMs

zenomastro/text-splitter-for-llm

Split text into clean, overlapping chunks ready for embeddings, vector databases, RAG and LLM context. Configurable size, overlap, and split strategy.

Rosario Vitale

RAG-Ready Markdown Converter & Chunker

foxpink/apify-rag-markdown-chunker

Convert raw HTML/text into clean Markdown and split into ready-to-ingest chunks for RAG pipelines, Vector DBs, and LLM fine-tuning workflows.

Nguyễn Anh Duy

4.7

Web-to-Markdown Generator for AI & RAG Pipelines

profitstack/web-to-markdown-generator-for-ai-rag-pipelines

Convert any website into clean, heading-based chunking, LLM-ready Markdown for RAG and AI agents.

Manas Mantri

RAG Post Processor - Text Cleaner & Chunker for LLM Pipelines

jalicia/rag-post-processor

Clean and chunk scraped text for RAG and LLM pipelines. Strips HTML, collapses whitespace, splits into overlapping chunks ready for embedding. Works standalone or chained after any scraper. Per-row billing.

Jordan Wagner

RAG Docs Extractor - Documentation to Chunks

ambitious_door/ragdocs-extractor

Turn any documentation site into clean, RAG-ready chunks in a single call. Semantic boundaries, preserved structure, per-chunk metadata.

C. K.

AI / RAG Web Crawler

groupoject/ai-rag-web-crawler

Crawl any website and extract clean, LLM-ready Markdown chunks to feed AI agents, chatbots, and RAG pipelines. One row per embeddable chunk.

Group Oject

Docs-to-RAG Crawler

automation-lab/docs-rag-crawler

Crawl documentation sites (ReadTheDocs, GitBook, Docusaurus, Mintlify) into RAG-ready Markdown/JSON chunks with stable chunk IDs, heading breadcrumbs, word counts, and token estimates.

Stas Persiianenko

Markdown RAG Chunker

codepoetry/markdown-rag-chunker

Chunk any document for RAG — PDF, HTML, Word, Excel, PPTX, Markdown and more. Header-aware splits with token counts and stable IDs.

CodePoetry

Website to Markdown Crawler for LLM & RAG

logiover/website-text-markdown-crawler

Crawl any website to clean Markdown and plain text for LLM training and RAG. HTML to Markdown, no API or login. Export website text to CSV or JSON.

Logiover

Rag Content Chunker

labrat011/rag-content-chunker

Turn raw text, Markdown, or Apify datasets into token-perfect RAG chunks with deterministic IDs, source metadata, and a billing-ready summary—ready for embeddings or vector DBs without extra glue code.