Generic models hallucinated on complex machinery. A secure internal assistant now grounds answers in proprietary data.
A global engineering and manufacturing giant operating across energy, defense, and space sectors, supporting large-scale power generation facilities critical to daily life.
Strict data security policies prevented employees from using public generative AI tools for confidential work. Furthermore, off-the-shelf models...
“In order to solve this problem, as an extreme example we should interpret the meaning of each query without using any data from Azure OpenAI Service, search our in-house data according to that interpretation, and have Azure OpenAI Service create a response text based on the search results obtained. The method called RAG is utilized based on this concept.”
Heavy industrial manufacturing and engineering for energy, aerospace, and defense.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Built a customized RAG architecture and prototype for MHI's TOMONI TALK solution.
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