General-purpose Intelligent Q&A System
Case Study

General-purpose Intelligent Q&A System

Helping enterprises build private AI knowledge bases — through local knowledge base vector retrieval, intelligent document splitting, automated question extraction, and fusion control, creating enterprise-exclusive intelligent customer service, internal knowledge management, and external Q&A platforms.

80%Q&A Efficiency
PrivatePrivate Deployment
RAGRetrieval Augmented

Our Advantages

From knowledge ingestion to intelligent retrieval — building enterprise-grade private Q&A systems.

01

Local Knowledge Base Vector Retrieval

Vectorizes enterprise internal documents, manuals, and FAQs — using semantic similarity retrieval to precisely locate relevant content. Supports private deployment to ensure enterprise data security.

  • Semantic vectorization
  • Private deployment
  • Data security isolation
02

Intelligent Document Splitting

Intelligently recognizes document structure and automatically splits paragraphs by semantic boundaries — supporting PDF, Word, Excel, and web formats to ensure knowledge fragment integrity and retrieval precision.

  • Semantic boundary detection
  • Multi-format support
  • Structure integrity
03

Automated Question Extraction

Automatically extracts potential questions and standard answer pairs from knowledge documents — building a structured FAQ library and continuously optimizing coverage with user query history to significantly improve recall and accuracy.

  • Auto FAQ generation
  • Continuous optimization
  • High recall rate
04

Fusion Control

Establishes strict fusion security mechanisms — through confidence threshold control, source attribution, and hallucination suppression strategies, ensuring the system always prioritizes enterprise knowledge base content over model fabrication.

  • Confidence control
  • Source attribution
  • Hallucination suppression

Customer Case

Intelligent Knowledge Base Q&A System for a Large Manufacturing Company

The manufacturing company had massive technical documents, operation manuals, and internal standards — employees struggled with inefficient information retrieval and knowledge transfer. Deploying the intelligent Q&A system built a private enterprise knowledge base, enabling intelligent knowledge retrieval and Q&A services.

Challenges

  • Massive scattered documents — low employee query efficiency
  • Knowledge transfer relies on people — high onboarding costs
  • General LLMs can't answer enterprise-specific questions
  • High data security requirements — can't use public cloud AI

Our Solution

  • Private vector database deployment for enterprise knowledge base
  • Intelligent document splitting and vectorization of all documents
  • RAG architecture ensures answers based on real enterprise knowledge
  • Fusion control ensures answer accuracy and traceability
Intelligent Q&A System

Build Your Enterprise-exclusive AI Knowledge Base

Talk to our experts and discover how private deployment can secure your data while unlocking the full value of your enterprise knowledge assets.