Implementing Generative and Analytical Models to Create and Enrich Knowledge Graphs for RAGs

Evaluate generative and analytical models to build Knowledge Graphs and facilitate these augmented, domain-centric Knowledge Graphs to power highly performing RAGs

Sunila Gollapudi

Published in

Towards Data Science

17 min read

9 hours ago

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Retrieval-augmented generation (RAG) systems are an advanced combination of generative AI and retrieval-based technologies. The purpose of RAGs is to improve the quality of generated text by incorporating…

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