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Develop advanced generative AI chat-based assistants by using RAG and ReAct prompting

Project Overview

A typical corporation has 70 percent of its data trapped in siloed systems. You can use generative AI-powered chat-based assistants to unlock insights and relationships between these data silos through natural language interactions. To get the most out of generative AI, the outputs must be trustworthy, accurate, and inclusive of the available corporate data. 

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Develop advanced generative AI chat-based assistants by using RAG and ReAct prompting