From the course: Improve Business Process Modeling with Generative AI
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Information retrieval with generative AI
From the course: Improve Business Process Modeling with Generative AI
Information retrieval with generative AI
Have you ever felt overwhelmed by the sheer volume of data your business generates every day? Now you can have a tool that can sift through all that information and present you with summarized information and insights. That's the power of Retrieval Augmented Generation or RAG for short. RAG refers to the ability to connect AI to large data sources. After this lesson, you'll be able to identify how data stores can be used in tandem with AI. First, let's dive into what RAG is and why it's so transformative. RAG combines the capabilities of retrieval systems and generative AI, enabling the AI to pull in irrelevant information from vast data stores to generate more accurate and contextually relevant responses. Rag-enabled AI can access a comprehensive knowledge base to provide customers or employees with precise answers to queries. Consider the example of a financial analyst who needs to generate reports based on various data sources, including market reports, financial statements and…
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