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Author: Jordan

Jordan completed her PhD in Artificial Intelligence at the University of New Hampshire in 2012. Since then, she's used AI to solve problems in many domains including security, medicine, & logistics.

Basics of RAG Systems

Lately, we’ve been fielding a lot of interest in custom Retrieval Augmented Generation (RAG) systems. And honestly, it’s easy to see why. RAG systems are incredibly flexible tools for injecting up-to-date, domain-specific knowledge into AI responses for answering questions, generating content, analyzing internal data, or any other task that’s primarily completed by producing an artifact.