Category: AI Search

Build knowledge-enhanced AI agents with Foundry IQ – RAG

I have built a Retrieval Augmented Generation (RAG) solution using the Azure AI Search SDK and Azure OpenAI SDK. There is a lot to know about not only coding, configuring, and managing those components, but how they must be tuned, fed, and optimized are aspects which we are still in a state of learning and […]

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Using Azure AI Language studio to improve RAG grounding document discovery

Azure AI Language Studio

A very critical part of implementing a Generative AI solution that utilizes Retrieval Augmented Generation (RAG) like Microsoft Copilot is the discovery of the most relevant grounding documents.  These most relevant grounding documents are then passed to the LLM for use in generating the NLP response.  For example, if you want to find out how […]

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