We use cookies to ensure that you have the best experience on our site.

What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) is an AI technique that enhances text generation models by retrieving relevant information from external sources before generating responses. This approach improves the accuracy, relevance, and contextual awareness of AI-generated content. RAG is widely used in knowledge-based AI applications, including chatbots, search engines, and automated research tools.

Data Protection Act
The Data Protection Act is a legal framework that governs the collection, storage, and processing of personal data to protect individuals' privacy. It sets guidelines for organizations to handle personal information responsibly and securely. Different versions exist in various countries, such as the UK's Data Protection Act 2018, ensuring compliance with international data privacy standards.
Data Governance
Data governance refers to the policies, processes, and frameworks that ensure data quality, security, and compliance within an organization. It defines roles, responsibilities, and standards for data management, enabling regulatory compliance and risk mitigation in data-driven businesses.
Computer Audition
Computer audition is the field of artificial intelligence that enables machines to analyze and interpret audio signals, including speech, music, and environmental sounds. It is used in applications such as speech recognition, music recommendation, acoustic event detection, and audio forensics. By leveraging deep learning and signal processing, computer audition enhances human-computer interaction and automation in audio-related tasks.