The big model helps enterprises improve efficiency, and Jiuzhang Yunji DataCanvas jointly released a privatization solution with Tencent Sogou input method

2024-05-10 17:13 0

/PRZWT/Beijing, May 9, 2024 - Recently, the cooperation between Jiuzhang Yunji DataCanvas and Tencent Sogou input method has been upgraded again. On the occasion of the official launch of the Sogou input method developer center, Jiuzhang Yunji DataCanvas, the first development partner of Sogou input method, jointly released the "Enterprise Knowledge Management Assistant" privatization solution.

The privatization solution of "Enterprise Knowledge Management Assistant" takes the input method as the carrier, combines the large model capability with the office input scenario, simplifies knowledge retrieval, and improves the efficiency of enterprise knowledge utilization. The solution is based on the Jarvex knowledge agent independently developed by Jiuzhang Yunji DataCanvas, and supports multi-modal data collection and processing of enterprise text, pictures, and writing to vector databases. Using enterprise private domain data, the solution generates vertical large models for business scenarios, providing knowledge generation, knowledge Q & A, knowledge management and other capabilities.

The daily operation of enterprises will generate a large number of work summaries, technical documents and other business information, which are stored in different software systems and intelligent end points, causing problems such as inconvenience in retrieval, long call chain, and difficulty in precipitation and reuse. It is particularly prominent in large enterprises in the fields of energy, finance, and manufacturing. "Enterprise Knowledge Management Assistant" will directly attack these pain points with the most cutting-edge AI technology, and accelerate the amplification of the value of private domain data of enterprises in various industries.

Thanks to Jarvex knowledge agent, the privatization solution of "Enterprise Knowledge Management Assistant" has cutting-edge large model capabilities. Jarvex knowledge agent is independently developed by Jiuzhang Yunji DataCanvas based on AI technologies such as large model and multi-mode vector database. It provides comprehensive, intelligent and efficient knowledge management and intelligent assistant services for enterprise users, empowering users to accelerate the management, utilization and value maximization of internal knowledge resources.

Through privatization security deployment, Jarvex knowledge agent deeply integrates large model capabilities with the enterprise's internal knowledge system, generates agent agents for business scenarios based on the enterprise's private domain data, realizes multi-agent linkage, and provides knowledge agent knowledge management, knowledge Q & A, knowledge generation, and auxiliary office capabilities. In the solution, the Sogou input method is also used as a carrier to combine AI capabilities with office input scenarios to simplify knowledge retrieval and improve the efficiency of enterprise knowledge utilization.

It is reported that the Sogou Input Method Developer Center opens more than 20 capabilities such as input windows, status bars, shortcuts, etc., and supports the secondary development of third-party large models, AI tools and other applications. Under the two-way empowerment of Sogou Input Method Open Architecture and Jarvex Knowledge Agent, the privatization solution of "Enterprise Knowledge Management Assistant" can further enhance the efficiency and experience of smart office, and accelerate the flexible reuse and value release of enterprise knowledge.

This cooperation is the innovative integration of large model frontier technology and input method, an existing advantageous product. Jiuzhang Yunji DataCanvas will continue to rely on the AI strength of independent innovation to accelerate and deepen the linkage with partners under the big model wave, and promote the deeper and larger industrial application of artificial intelligence technology implementation.

Source: Corporate press release
Keywords: Tencent
Press release Overseas media release advertorials Release advertorials release press conference Release press release overseas media release media release platform media release release press release Invite media to invite overseas press release Overseas press release