This document details the specifications and development of an Augmented Generation Retrieval (AGR) system designed to query the European AI Act. The system was developed using LangChain technology and employs several advanced technologies, including Hugging Face embeddings with the all-mpnet-base-v2 model, the OpenAI GPT-4 model, and the Pinecone vector database.

The EU AI Regulation, a global regulatory milestone, must be considered in its entirety for both AI systems and general-purpose AI models. As such, it should be borne in mind that virtually any AI tool developed and/or used in the EU is subject to the AI Act in its entirety, with some exceptions. Therefore, its study should be approached from a holistic perspective, as any AI system or model subject to the Regulation is bound by the objectives predetermined by the EU co-legislators.

Content

1. Regulation of AI systems. A horizontal regulatory approach

2. Following the horizontal regulatory approach, general-purpose AI models emerge

3. Codes of good practice

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Taxonomy of AI externalities on vulnerable individuals, differentiating between technical and socio-psychological factors according to the context.