Obtain In-House Information Immediately and Improve Efficiency

AIplicity Concierge Powered by ChatGPT API

In-house information will go from being something to “find” to something “to be taught.” AI provides assistance to find the required answer through chat depending on the authority of the person seeking the answer, from management and HR through to general employees. With no complicated knowledge about AI required, this service realizes business streamlining with swift implementation.

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Service Overview

By storing various document files already in-house in a specified location, you can then obtain the necessary information by simply asking AIplicity Concierge Powered by ChatGPT API (hereinafter, “AIplicity Concierge”). Depending on your authority, AIplicity Chat Powered by ChatGPT API (hereinafter, “AIplicity Chat”) provides an answer such as on management information, HR information, and general information.

  • AIplicity Concierge Powered by ChatGPT API

  • Service Benefits

    AIplicity Concierge can use existing data as-is with no knowledge of AI or retrieval augmented generation (RAG) necessary, making it is easy to use. Additionally, it is possible to implement quickly, thereby saving time on individual development and costs.

    You can use the data you have now
    今あるデータが使える

    You can use data that has already been released on your intranet or file servers and there is no need to create, process, or form new data.

    Use easily
    簡単に使える

    No difficult knowledge on AI or RAG is necessary. You can use it simply by saving document files in a folder.

    Implementation can be swift
    Implementation can be swift

    With a Microsoft Azure environment, this service can be built in a minimum of one day. Even for implementation along with AIplicity Chat, the environment can be built in two days.

    Service Configuration Overview

    AIplicity Concierge is offered as an extension of AIplicity Chat. The extension is based on RAG technology. The functions offered with this service are to retrieve document files and compile an index and a function to generate search queries from a chat message and generate a response based on the search results.

  • Service Configuration Overview

    • Azure Data Lake Storage Gen2
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