IT and knowledge managers are talking a lot these days about the limits of Generative AI and the resulting application possibilities. In recent months, many theoretical papers have been written about the hallucinations, factual accuracy and precision of Generative AI for industries where inaccuracies are not possible. Today we want to leave the theoretical realm and take a concrete tour with knowledge expert and Semantic Web Company CEO Andreas Blumauer to show the possibilities of combining Generative AI and Semantic Models.
Andreas shows us how a Semantic RAG (Retrieval-Augmented Generation) can outperform plain LLMs and provide actionable insights for industries where the stakes are high.
Some of the following industries would greatly benefit from an advanced RAG approach:
For potentially life-changing decisions in healthcare, where full transparency is required.
In the highly regulated banking sector, where precise and clear conclusions are required.
In manufacturing, where deep industry knowledge is required to make sense of manuals, maintenance logs, equipment details, and historical work orders.
Enough words – see for yourself how you can use LLMs in serious enterprise applications.
PoolParty is at the forefront of developments made in enteprise-ready technologies that combine Generative AI and knowledge graphs.
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