Reference implementation of Agentic Retrieval-Augmented Generation (Agentic RAG) using A2AJava, a structured Java agent framework. The implementation follows the design patterns introduced in the ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

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Global capability centers (GCCs) in financial services are evolving from back-office hubs to AI-powered intelligence engines. They're rewiring their operating models to embed AI into risk, credit and ...

The GPT-RAG, also known as the Enterprise RAG, is a model implementation of the RAG pattern, utilizing Azure Services like Azure OpenAI, AI Search, and Azure App Service. It offers two deployment ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

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