A documentation index lists important resources with stable titles, links, and concise descriptions. A complete index may group content by product area, task, version, or audience, making it easier for an artificial intelligence agent to choose the right document without searching every page.
Indexes should be generated or reviewed against the current documentation set so they do not point to removed, duplicated, or outdated pages. They work best when each destination has a clear canonical URL, useful heading structure, and an accessible text representation.
Acronyms and aliases
documentation map synonym
Related terms
Frequently asked questions
How does a documentation index help an artificial intelligence agent?
It provides a bounded map of authoritative pages, allowing the agent to select relevant context without crawling or loading the complete documentation site.
What should a documentation index record?
It should record stable links, descriptive titles, concise scope information, version context, and enough structure to distinguish related resources.
