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docs.zapier.com
llms.txt
https://docs.zapier.com/llms.txt
# Zapier — docs.zapier.com > Local index for developer documentation: SDK, MCP (Model Context Protocol), integration building, embedding, White Label. > Root map: [zapier.com/llms.txt](https://zapier.com/llms.txt) > Full text: [llms-full.txt](https://docs.zapier.com/llms-full.txt) — every page concatenated, for embedd...
docs.zapier.com
llms-full.txt
https://docs.zapier.com/llms-full.txt
"# Create a stored action\nSource: https://docs.zapier.com/api-reference/actions/stored-actions/crea(...TRUNCATED)
sorank.com
llms.txt
https://www.sorank.com/llms.txt
"# Sorank\n\n> Sorank is an AI-powered SEO and GEO (Generative Engine Optimization) platform that he(...TRUNCATED)
mintlify.com
llms.txt
https://mintlify.com/docs/llms.txt
"# Mintlify\n\n> Mintlify is a platform for building and hosting documentation websites. It provides(...TRUNCATED)
mintlify.com
llms-full.txt
https://mintlify.com/docs/llms-full.txt
"# AI-native documentation\nSource: https://www.mintlify.com/docs/ai-native\n\nDiscover how AI-nativ(...TRUNCATED)
disabled-world.com
llms.txt
https://www.disabled-world.com/llms.txt
"# Disabled World\n\n> Disabled World (DW) is an independent disability news and information website(...TRUNCATED)
disabled-world.com
llms-full.txt
https://www.disabled-world.com/llms-full.txt
"# Disabled World — Full Site Index\n\n> Complete category index for Disabled World (https://www.d(...TRUNCATED)
finest.so
llms.txt
https://finest.so/llms.txt
"# Finest: install instructions for an AI coding agent\n\n> Finest serves supported OpenAI Chat Comp(...TRUNCATED)
finest.so
llms-full.txt
https://finest.so/llms-full.txt
"# Finest: the right model for the job, proven before it serves you\n\n> Finest routes each request (...TRUNCATED)
sorank.com
llms.txt
https://www.sorank.com/llms.txt
"# Sorank\n\n> Sorank is an AI-powered SEO and GEO (Generative Engine Optimization) platform that he(...TRUNCATED)
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Context & Motivation

https://llmstxt.org/ is a project from Answer.AI which proposes to "standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time."

I've noticed many tool providers begin to offer /llms.txt files for their websites and documentation. This includes developer tools and platforms like Perplexity, Anthropic, Hugging Face, Vercel, and others.

I've also come across https://directory.llmstxt.cloud/, a directory of websites that have /llms.txt files which is curated by these folks: https://x.com/llmsdottxt. I thought it would be fun to use this awesome resource to collect all of the files into a single dataset. They're simply markdown files. This dataset can then be used to build cool applications.

Thank you to Answer.AI and Jeremy Howard, the providers that are adopting this standard, and the maintainers of https://directory.llmstxt.cloud/.

How this dataset was made

This is the notebook that fetches files that linked to from https://directory.llmstxt.cloud/ and uses the kagglehub Python client library to publish the resulting output as this dataset.

Inspiration

  • Give your LLM application access to this dataset to enhance its interactions with these tools, e.g., for code-generation tasks
  • Search and knowledge retrieval
  • Extract and summarize common developer tasks to generate novel benchmarks for LLM evaluation
  • Validate the correctness of the llms.txt files

Contributing

I'd love if anyone is interested in contributing to improving the notebook that extracts the llms.txt files. Leave a comment on this dataset or on the notebook. Feel free to also ping me with interesting demos or applications you create with this dataset.

Photo by Solen Feyissa on Unsplash

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