The SiliconFlow documentation site supports the llms.txt protocol, allowing users to directly browse the documentation or seamlessly integrate it with tools that support the protocol.
For users who may not be familiar with the llms.txt protocol, the following provides a brief overview and usage guide.
The llms.txt protocol is an emerging web standard designed to help large language models (LLMs) access and understand website content more effectively. By creating an llms.txt file in the root directory of a website, website owners can provide clear navigation and guidance for AI systems, improving information retrieval efficiency.
AI-Friendly Navigation: This file provides a simplified view of the entire documentation, making it easier for LLMs like Cursor or ChatGPT to index your content.
Think of it as search engine optimization for AI—users can now directly find specific product information through general LLMs.
While llms.txt shares some functional overlap with existing standards like robots.txt and sitemap.xml, their purposes and uses differ:
robots.txt: Used to instruct search engine crawlers on which pages can or cannot be crawled, focusing primarily on access control.
sitemap.xml: Provides a structural map of the website, helping search engines understand the layout of pages, primarily for indexing purposes.
llms.txt: Provides a structured content overview for large language models, helping AI systems better understand and process website information, enhancing AI interactions.