Core Value

As enterprise IT environments become increasingly complex, traditional operations and maintenance (O&M) approaches struggle to manage issues efficiently. To address challenges such as fragmented knowledge, poor reuse of experience, and low search efficiency, our company has developed a RAG (Retrieval-Augmented Generation)-based intelligent O&M knowledge base powered by large language models. This solution enables structured knowledge governance, efficient retrieval, and intelligent Q&A—significantly enhancing O&M efficiency.

Technical Features

  • Data Governance and Knowledge Cleaning: Converts massive unstructured documents, logs, and records into a unified format and standard classification system, building a clear knowledge directory.
  • Data Annotation and Vectorization: Uses industry-specific rules to label data segments for enhanced semantic understanding. Advanced text embedding models are applied to vectorize data and build a high-performance semantic retrieval database.
  • RAG-Based Intelligent Q&A System: Built on the LangChain framework, the system accurately retrieves relevant information from user queries in natural language and generates structured, precise responses using large language models.
  • Modular and Private Deployment: Designed with modularity for scalability and easy maintenance. Supports deployment in private environments to ensure data security and full control over system outputs.

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Application Scenarios

  • Enterprise O&M Service Desks: Enhances daily response speed and reduces manual support workload.
  • IT Operations Management: Facilitates rapid reuse of accumulated experience and accelerates knowledge acquisition for new staff.
  • Data-Sensitive Enterprises: Ideal for industries such as finance, government, and healthcare where data security prohibits cloud deployment.
  • Automation and Intelligent O&M Upgrades: Seamlessly integrates with CMDBs, monitoring platforms, and other systems to enable end-to-end intelligent and automated operations.

Business Advantages

  • Greatly improves knowledge management and reuse, reducing repetitive work and error rates.
  • Significantly increases search precision—far surpassing traditional keyword-based methods.
  • Intelligent Q&A automation reduces service desk burden, improving service quality and response speed.
  • Private deployment ensures the security of sensitive data and compliance with strict regulatory requirements.
  • Supports continuous scalability and iteration to meet long-term digital transformation and intelligent O&M needs.