# Getting Started Welcome to the official documentation of AI Vulnerability Database (AVID)! AVID is an open-source, extensible database of failure modes in general-purpose AI (GPAI) systems, including LLMs, API-only AI systems, developer tooling, and end-to-end applications and agents. AVID aims to * prioritize high-fidelity vulnerability and report records with evidence and reproducible evaluation details * support practitioners evaluating GPAI systems across model, tool, and application layers * map records to a library of taxonomies, with AVID taxonomy as one reference framework * provide developer tooling to structure and ingest reports at scale This site contains information to get you started with different components of AVID. * [Database](https://docs.avidml.org/database): the primary store of structured vulnerability and report records. * [Taxonomy Library](https://docs.avidml.org/taxonomy): classification frameworks used to organize and query database records. * [Developer SDK](https://docs.avidml.org/developer-tools): the official Python toolkit for working with AVID. --- # 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.avidml.org/readme.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.