# Metadata attributes - [Vectra AI Platform network metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-network-metadata-attributes.md): The attached PDF document describes the Vectra AI Platform Network metadata. - [Vectra AI Platform Azure metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-azure-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform Azure metadata; this metadata is available in Vectra\'s Respond UX (RUX) platform and visible in Investigate. - [Vectra AI Platform AWS CloudTrail metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-aws-cloudtrail-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform AWS CloudTrail metadata; this metadata is available in Vectra\'s Respond UX (RUX) platform and visible in Investigate. - [Vectra AI Platform Azure AD and M365 metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-azure-ad-and-m365-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform Azure AD and M365 metadata; this metadata is available in Vectra\'s Respond UX (RUX) and visible in Advanced Investigations. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.vectra.ai/reference/metadata-attributes.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.