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"Super RAG™ on Azure" will be available on the Microsoft Azure Marketplace from the end of January 2025
Building a highly accurate AI assistant that incorporates vast amounts of knowledge in the world's most secure environment
Demonstrations will also be held at our booth at the "AI/Artificial Intelligence EXPO" (November 20th to November 22nd, Makuhari Messe)!
Our AI product "Super RAG"Super RAG™ (Super RAG)" will be available for sale on Microsoft's Azure Marketplace as "Super RAG™ on Azure" from the end of January 2025.
Super RAG is a multimodal AI product that can ingest large volumes of complex unstructured documents, including tables and figures, and generate highly accurate answers using LLMs (large-scale language models). Up until now, we have provided customized models tailored to the use cases of each individual company, but from now on, it will be possible to smoothly introduce "Super RAG™ on Azure" with standard functions on the Azure Marketplace.
"Super RAG™ on Azure" not only provides the world's highest level of security, but also a highly reliable system environment that can be integrated and expanded with various products and applications, promoting the full-scale business adoption of LLM.
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■About the endorsement from Microsoft Japan Co., Ltd. (hereinafter Microsoft Japan)
Microsoft Japan wholeheartedly welcomes the release of "Super RAG™ on Azure" by Cinnamon Co., Ltd. We would also like to thank Cinnamon for adopting Azure Marketplace as a new sales channel.
RAG technology is not only improving business efficiency, but also has the potential to extract valuable insights from in-house data and contribute to further business strategies, and is being trialed by many companies in Japan. In response to these needs, we have announced that we will invest approximately 440 billion yen (2.9 billion US dollars) over the next two years to strengthen our AI and cloud infrastructure in Japan, and will work with our partners to promote the safe use of data.
Furthermore, through our collaboration with the highly scalable Microsoft Azure and Super RAG, we will be able to handle large amounts of complex data in accordance with the amount of resources desired by our customers, which we are confident will also contribute to cost efficiency.
Microsoft Japan will continue to support our customers' digital transformation through this strong collaboration with Cinnamon Co., Ltd.
Executive Officer, Managing Director, Partner Business Division, Microsoft Japan Co., Ltd.
Satoshi Asano
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■ "Super RAG" enables low-cost, versatile LLM to be introduced into business
RAG (Retrieval Augmented Generation) is attracting attention as a way to promote the introduction of large-scale language models (LLMs) such as ChatGPT in actual business operations. RAG is a technology that improves the accuracy of answers by appropriately combining external information when LLMs generate text. The proprietary information held by companies contains a lot of documents in complex formats (unstructured documents) such as tables and graphs, and advanced AI technology is required to input this data and achieve the accuracy required for business use.
Currently, trial implementation of systems using RAG is underway, primarily at large companies, but to improve response accuracy, individual customization is required for each use case, such as data preprocessing and search algorithms. As a result, implementation is limited to only some operations from the perspective of response accuracy and ROI, and has not yet been implemented company-wide, including for low-volume, high-mix operations (long-tail operations), and the current situation is that internal usage rates remain low. In addition, there are issues such as preventing the implementation of a system that is heavily dependent on the technology of a specific vendor and the risks involved in transferring large amounts of data, making it difficult to completely replace the in-house RAG system currently in use.
Cinnamon AI's "Super RAG" addresses these issues by using its unique AI technology (a group of AI modules) that can be securely and easily integrated into existing in-house systems to generate generic, highly accurate answers at low cost. For tasks where the accuracy was around 401 TP3T when using a general RAG, "Super RAG" achieved an accuracy of over 901 TP3T (based on our test data).
*"Super RAG™" mentioned in this press release is a trademark of Cinnamon Co., Ltd.
*Microsoft and Azure are registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries.