Building a RAG Bot on SAP BTP With Hana Cloud Vector Engine and AI Core

Retrieval-Augmented Generation (RAG) is a method for improving the output of large language models (LLMs). While LLMs are trained on vast amounts of data, they may lack access to proprietary or enterprise-specific information behind paywalls, or other custom data needed to generate accurate results. RAG supplements the LLM’s knowledge by retrieving relevant external information, making its outputs more accurate, relevant, and useful in a cost-effective way.

​ Retrieval-Augmented Generation (RAG) is a method for improving the output of large language models (LLMs). While LLMs are trained on vast amounts of data, they may lack access to proprietary or enterprise-specific information behind paywalls, or other custom data needed to generate accurate results. RAG supplements the LLM’s knowledge by retrieving relevant external information, making its outputs more accurate, relevant, and useful in a cost-effective way.   Read More Technology Blog Posts by SAP articles 

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