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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs?

Data Virtualization

Reading Time: 4 minutes Providing timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what.

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents

Data Virtualization

The climate is full of creativity and innovation, and we’re learning that large language models (LLMs) have capabilities we can exploit in many ways. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? In previous posts, I spoke.

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying

Data Virtualization

Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large.

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 3: Semantic Indexing of Enterprise Data

Data Virtualization

Reading Time: 5 minutes GenAI is driving all kinds of innovations and new ways of working, and we have discovered that large language models (LLMs) are capable of some pretty amazing feats. In my last post I discussed how they can enable users to. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs?