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To find official documentation, query the library's llms.txt index to locate and retrieve the most relevant page, receiving a concise answer with cited source URLs.

The llms.txt index is a standardized file that lists essential documentation links for a library, enabling AI systems to fetch precise, relevant official docs instead of scraping entire websites.

When standard retrieval is incomplete, the system uses a multi-source retrieval strategy with an llms-full.txt fallback to ensure comprehensive access to the necessary framework documentation.

Yes, version-aware documentation lookup is supported by detecting version context directly from your project dependencies or user input to fetch the matching official docs.

Yes, every documentation retrieval cites the exact source URL and specifies the retrieval method used, ensuring transparency and verifiable references for the provided answers.

Retrieval is limited to libraries and frameworks that actively publish an llms.txt index, and document accessibility depends on the external site maintaining proper file variants.