> For the complete documentation index, see [llms.txt](https://docs.avidml.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.avidml.org/readme.md).

# 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](/database/introduction.md): the primary store of structured vulnerability and report records.
* [Taxonomy Library](/taxonomy/introduction.md): classification frameworks used to organize and query database records.
* [Developer SDK](/developer-tools/python-sdk.md): the official Python toolkit for working with AVID.