> For the complete documentation index, see [llms.txt](https://docs.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vectra.ai/operations/investigate.md). # Investigate - [AI-Assisted Search](https://docs.vectra.ai/operations/investigate/ai-assisted-search.md): Use AI Assisted Search to ask investigation questions in plain language and get context-rich answers and next steps. - [SQL search](https://docs.vectra.ai/operations/investigate/sql-search.md): Accessing SQL Search, examples, syntax, fields, tables, operators, and functions supported. - [Vectra AI Platform Metadata Retention FAQ](https://docs.vectra.ai/operations/investigate/vectra-ai-platform-investigate-faq.md): FAQ for Vectra AI metadata retention for observability, hunting, and investigations. - [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 - [Agentic Investigations](https://docs.vectra.ai/operations/investigate/agentic-investigations.md): Understand and respond to active security incidents faster with the help an integrated SOC Investigation Agent --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.vectra.ai/operations/investigate.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.