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What is Vector Database?

A Vector Database is a specialized database designed to store and search high-dimensional vector representations of data, commonly used in AI applications such as recommendation systems, image retrieval, and natural language processing.

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.
Compartmentalization (information security)
Compartmentalization is a security principle that restricts access to information based on user roles and privileges. It minimizes security risks by ensuring that sensitive data is only accessible to authorized individuals.
Fake data
Fake data refers to artificially generated or manipulated information designed to appear real. It is used for testing, training machine learning models, and protecting privacy by replacing sensitive data with synthetic alternatives while maintaining statistical validity for analytics and AI applications.