1. Background Insights | Industry Pain Points

A certain biotechnology company was founded in 2002 by returning overseas students as a high-tech enterprise in the biotechnology domain. The integrated scheme built by the company across multiple domains provides one-stop upstream products and services for research and industrial customers in the life sciences domain.

However, as a representative of new quality productivity, the company’s knowledge management still adopts traditional methods and has not integrated with AI intelligent learning. Many manufacturing companies also face the common challenges of chaotic knowledge management and difficult retrievals:

• Knowledge islands: Fragmented information lacks a system.
• Low utilization: Historical experience is hard to become productivity.
• Inefficient search: Knowledge search is inefficient and lagging.
• Permission is hard to control: Manual management easily leads to production omissions.

Based on the above pain points, Cloud hub has launched the intelligent knowledge base solution DeepSeek-R1-0528, helping enterprises build an integrated knowledge management platform that enables agile responses and empowers business.

2.Customer Application Solution

Knowledge Agent Scenario Service

Everyone has an intelligent knowledge assistant that enables knowledge search and precise Q&A through natural language interaction. Different business groups can configure and access dedicated knowledge bases with professional knowledge assistants, providing expert Q&A services tailored to business scenarioses.

Knowledge Intelligent Assistant

Knowledge Assistant

Human resources, marketing, legal, customer service, and other business departments can establish a <x1>Dedicated Knowledge Base</x1>, oriented towards <x2>Business Scenarioses</x2>, leveraging <x3>Agent</x3> to achieve intelligent services for <x2>Business Scenarioses</x2>.

Knowledge Base

Comprehensively integrate internal enterprise knowledge.

Based on regulatory <Clause>, product introductions, and other knowledge, draft <Contract>, edit <technical scheme>, and create promotional documents, among other knowledge reorganization application scenarioses, to achieve sustainable utilization of knowledge.

Knowledge Center

Unified storage and relational management of unstructured (knowledge center, real-time communication data, etc.) and structured (processes, light cloud scenario applications, etc.) knowledge, with multiple channels for knowledge collection, forming a more complete enterprise knowledge system.

Multiple channels of inclusion

Establish a corporate risk database, a national regulations database, etc., and during document review, use <x1>intelligent</x1> attachment analysis to connect to the risk regulations database, achieve <x2>contract</x2> <x3>risk</x3> control, and enhance compliance levels.

Risk compliance approval

Enterprise-level Knowledge Base

– The enterprise knowledge intelligent agent application must meet security standards. The display of RAG content is precise to the user, combining the retrievals, data analysis, and semantic analysis of each user’s question from the large language model, ensuring that knowledge utilization remains under control without inconsistencies.

Enterprise-Level Security Management

3.Role Hierarchy Value

The Cloud Hub Intelligent Knowledge Base Solution aims to provide manufacturing enterprises with a business scenario-oriented intelligent AI Native knowledge creation and empowerment Platform, achieving a closed loop of “knowledge contribution – knowledge management – knowledge application” to ensure a user-friendly AI Experience.

For knowledge contributors: Provide intelligent tools for assisting in creation and knowledge archiving, enhancing knowledge creation efficiency.

For Knowledge Managers: Provide efficient knowledge integration <Service>, <Tools> for safety control, achieving orderly <Classification> and safety management of knowledge.

User (/Disabled/) Provide precise and quick intelligent Q&A, document compliance review, and intelligent decision support, reducing the difficulty of knowledge acquisition and enhancing the utilization of knowledge.