# Investigate - [AI-Assisted Search](https://docs.vectra.ai/operations/investigate/ai-assisted-search.md) - [SQL search](https://docs.vectra.ai/operations/investigate/sql-search.md): This is documentation for the Private Preview of SQL Search. Please contact your Vectra account team if you are interested in joining the private preview. - [Vectra AI Platform Investigate FAQ](https://docs.vectra.ai/operations/investigate/vectra-ai-platform-investigate-faq.md) - [Investigate API user guide](https://docs.vectra.ai/operations/investigate/investigate-api-user-guide.md): Using the RUX Investigate (Metadata) API Manually (e.g., with Postman) - [Investigate API metadata schema reference](https://docs.vectra.ai/operations/investigate/investigate-api-metadata-schema-reference.md): Available Tables and Fields for RUX Investigate (Metadata) API Queries --- # 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/operations/investigate.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.