Botnow's knowledge base system is one of its core technological strengths. It uses a hierarchical storage architecture and semantic indexing technology to enable structured storage of enterprise expertise. The system supports the import of multiple data formats, including documents, databases and API data sources, and automatically builds knowledge association networks through natural language processing technology.
In practical application, the knowledge base provides double value guarantee for the intelligent body: in terms of accuracy, the response mechanism based on vector retrieval ensures that the content of the answer is consistent with the enterprise's knowledge map; in terms of professionalism, it supports domain terminology recognition and contextual understanding, so that the quality of the conversation reaches the level of industry experts. The platform also provides a closed-loop knowledge feedback, where intelligent bodies can automatically mark unknown questions and trigger the knowledge base update process.
A typical case shows that after a financial institution deployed Botnow Intelligent Customer Service, the first-time resolution rate of complex business issues increased from 63% to 89%, and the knowledge maintenance cost was reduced by 40%, which proves that its knowledge base not only improves the quality of interactions, but also realizes the sustainable operation of knowledge.
This answer comes from the articleBotnow: AI Intelligent Body Creation and Distribution Platform for Smart Marketing and Smart OfficeThe
