Domain stringlengths 9 20 | File stringclasses 2
values | URL stringlengths 26 45 | Content stringlengths 1.26k 3.84M |
|---|---|---|---|
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) |
cursor.com | llms.txt | https://cursor.com/llms.txt | "# Cursor Documentation\n\n## Get Started\n\n- https://cursor.com/docs.md\n- https://cursor.com/docs(...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) |
shieldlabs.ai | llms.txt | https://shieldlabs.ai/llms.txt | "# ShieldLabs\n\n> ShieldLabs is fraud detection and prevention with traffic quality scoring. It det(...TRUNCATED) |
shieldlabs.ai | llms-full.txt | https://shieldlabs.ai/llms-full.txt | "# ShieldLabs\n\nShieldLabs is fraud detection and prevention with traffic quality scoring. It detec(...TRUNCATED) |
revenuecat.com | llms.txt | https://www.revenuecat.com/docs/llms.txt | "# RevenueCat Documentation\n\n> RevenueCat is the most popular way to build, analyze, and grow in-a(...TRUNCATED) |
revenuecat.com | llms-full.txt | https://www.revenuecat.com/docs/llms-full.txt | "# RevenueCat Documentation â Full Corpus\n\n> RevenueCat is the most popular way to build, ana(...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) |
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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