Glossary
RAG (retrieval-augmented generation)
RAG (retrieval-augmented generation) combines information retrieval with generative language models, and powers Thoughtly’s Genius knowledge base for accuracy.
RAG (Retrieval-Augmented Generation) is an AI framework that combines the strengths of traditional information retrieval systems (such as databases) with the capabilities of generative large language models (LLMs). By combining this extra knowledge with its own language skills, the AI can write text that is more accurate, up-to-date, and relevant to your specific needs.
Thoughtly provides a powerful, yet easy-to-use RAG system called Genius.