# 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.