What Is Retrieval-Augmented Generation aka RAG

Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

Recap of our Novelis Research posts about on LLM

Developing with Large Language Models - Retrieval Augmented Generation RAG

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Rakshit Singh on X: / X

Retrieval-Augmented Generation, aka RAG, by CaratLane Insider, Mar, 2024

Demystifying Retrieval-Augmented Generation (RAG): A Deep Di

Vector Database, Retrieval Augmented Generation, and Semantic

What is Retrieval Augmented Generation (RAG)? - Confident AI

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Improve Retrieval Augmented Generation Through Classification

Retrieval augmented generation (RAG) explained [+ examples]

What is Retrieval Augmented Generation (RAG)?

Building ChatGPT-Like Experiences with Azure: A Guide to Retrieval Augmented Generation for JavaScript applications - Azure SDK Blog