Development of an Enterprise Knowledge Base System Based on Elasticsearch

With the continuous increase in social demand, the scale and quantity of projects in enterprises are becoming larger and larger. This makes enterprises face the problem of dealing with a large number of complex documents in project work, as well as the problem of inefficient information sharing during personnel changes and document handover. Based on the problems faced, an enterprise knowledge base system was designed. This system adopts a front-end and back-end separation architecture, ensuring good scalability and flexibility. The system mainly has multiple functions such as user authentication, user management, tag management, project management, project member management, project document management, project data management, information retrieval function, and document robot. Among them, information retrieval and document robots are the core functions of the project. The information retrieval part uses Elasticsearch to store document information, and synchronizes the document information stored in MySQL to Elasticsearch through Logstash. The inverted index structure greatly improves the efficiency of full-text retrieval. The document robot module introduces retrieval enhanced generation technology, which combines the prompt word engineering and retrieval database provided by LangChain with a large language model to achieve intelligent question answering for documents. With the continuous deepening of enterprise informatization construction, this system will provide stronger support for the development of enterprises and provide an efficient solution for project management, which helps to improve the efficiency and quality of project management and has certain application scenarios and reference value.