R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
Especially in machine learning and natural language processing (NLP) projects, data is often represented as numerical vectors. At this point, traditional databases may be insufficient to manage vector-based data. This is where Vector Database (Vector DB) comes into play.
Data architecture is a set of rules, policies, standards, and models that govern and determine the type of data collected, and show how this data is used, stored, managed, and integrated within an enterprise and database systems.
RAG is an artificial intelligence technique that optimizes the output quality of major language models. The system references authoritative databases other than the model's training data before generating responses.
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