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Amazon Web Services Marketplace China: WiseHub
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    WiseHub

     
    WiseHub Knowledge Base is a next-generation enterprise-level knowledge hub built with advanced Agentic RAG technology as the core. It has comprehensively upgraded multi-modal knowledge analysis, diversified knowledge segmentation, and accurate advanced knowledge retrieval capabilities to provide you with efficient and reliable AI knowledge question-and-answer and acquisition services. As a solid foundation for large-scale model implementation and production, it can effectively break down knowledge silos within enterprises, deeply empower various intelligent applications, and achieve intelligent business transformation.

    Overview

    WiseHub Knowledge Base is a next-generation enterprise-grade knowledge hub designed to create world-class RAG (Search Enhanced Generation) products. Faced with increasing demand for knowledge retrieval and question-and-answer, it has successfully overcome the limitations of traditional components in terms of lack of multi-modal analysis capabilities, single knowledge segmentation methods, poor search accuracy, and insufficient generation quality. As a powerful knowledge-driven engine, the intelligent knowledge base can not only provide efficient and reliable knowledge acquisition services to the outside world, but also deeply empower various internal intelligent applications and provide a solid and continuously evolving foundation guarantee for large-scale model implementation and production. It is committed to solving knowledge silos and efficiency bottlenecks within enterprises, achieving a revolutionary shift from traditional “knowing where to find” to “getting answers directly” through natural language interaction, and greatly improving the efficiency of employees' knowledge acquisition and data utilization value. At the core functional level, the Gathering Knowledge Base has achieved a multi-dimensional leap in capabilities. In terms of knowledge management, it supports a total of 7 data collection methods, including documents, question and answer pairs, text blocks, blank documents, image audio, and web page synchronization. The system is equipped with leading document analysis and segmentation technology, and has added image, table, and PDF layout analysis within the document. It supports various strategies such as parent-child segmentation and table segmentation, and can even extract question and answer questions simultaneously during the analysis process. In terms of intelligent question and answer, the product provides 3 types of fast, quality, and deep search modes to solve problems of different complexity, and combines advanced settings such as graphic output, reference traceability, and user preference memory to generate highly personalized and accurate answers. In addition, a complete knowledge operation board supports full-dimensional data statistics and insight, and the supporting Q&A labeling and data return mechanism ensures continuous optimization of Q&A results. The significant advantages of the Gathering Knowledge Base also lie in its high degree of business suitability and extremely flexible integration solutions. In order to ensure enterprise data security, the system has built-in detailed user rights management and data permission isolation mechanisms, and supports customized operation rights such as viewing, editing, and management. For complex professional scenarios, the platform supports customized analysis and segmentation templates for business documents, and introduces business terminology database alignment capabilities, greatly improving search accuracy in vertical fields. During the deployment and implementation process, the JiZhi Knowledge Base provides two methods: “out-of-the-box” page component embedding and integration, and “highly customized” API interface integration. With end-to-end knowledge service capabilities such as standardized document management, multi-source knowledge fusion, and intelligent question and answer generation, the intelligent knowledge base can be seamlessly integrated into various enterprise systems to comprehensively protect the digital intelligence upgrade of enterprises.

    Highlights

    • Full-format multi-modal knowledge analysis and structured segmentation: supports multi-source heterogeneous data access in 7 major types and 12 document formats. It can not only process regular text, but also accurately perform multi-modal knowledge analysis of images, tables, audio, and even web pages, and also provides 14 knowledge segmentation strategies such as parent-child segmentation and table segmentation. It helps you easily cope with complex business scenarios and turn complex internal documents into standardized, high-value corporate intellectual assets.
    • Leading RAG engine and high-precision intelligent Q&A: built-in 3 search modes: fast, quality, and deep, to flexibly adapt to the needs of different business scenarios. Combined with hybrid search, reordering algorithms (Rerank) and business term alignment functions, it can effectively eliminate the confusion between users' oral expressions and internal expertise, and provide you with accurate and authoritative RAG search and intelligent question and answer services.
    • Refined rights control and Agentic RAG empowerment: It provides a three-level strict permission control mechanism of “view-editing-management” to ensure that corporate knowledge is only open to authorized users and protect data security in all aspects. Furthermore, with powerful Agentic RAG technology, the knowledge base can become an intelligent manager with “execution authority”, making an intelligent leap from traditional passive search to multi-step planning and active tool execution.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2023

    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional Amazon Web Services infrastructure costs may apply. Use the Amazon Web Services Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

     
    Dimension
    Cost/hour
    t3.xlarge
    Recommended
    CN¥12.00

    Vendor refund policy

    Software usage fees for this product are not currently refundable. All purchases, including usage fees due to hourly billing and prepaid contract or subscription fees, are deemed final once made and are non-refundable.

    If you notice an erroneous charge on your bill due to a system error, or need technical support for any product, please contact us to verify processing by contacting us as follows:

    Customer support email: zhou.xingyu@ustcinfo.com 

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. Amazon Web Services Marketplace China does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Integrate industry best practices to effectively improve the accuracy of questions and answers on enterprise privatization knowledge.

    Additional details

    Usage instructions

    Welcome to the WiseHub Knowledge Base System!

    After the instance starts, please wait 3-5 minutes for the system environment and database to fully initialize.

    Please access the system's web management backend via a browser: The access address is: http:// <您的实例公网IP> :8889/rag-web-ui/#/login (You can find the public IPv4 address assigned to the instance on the console instance details page).

    To ensure system security, it is recommended that you change your password immediately after logging in for the first time.

    Important: Make sure that the security group configured for the instance is open to port 8889 and port 22 when you launch it. If you have any questions about the product, feel free to contact us.

    Email: zhou.xingyu@ustcinfo.com 

    Support

    Vendor support

    If you need the above products, please feel free to contact us. Contact person: Zhou Xingyu (Sales Director) Phone: 18949099145 E-mail: zhou.xingyu@ustcinfo.com 

    Amazon Web Services infrastructure support

    Amazon Web Services Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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