Coverage
32%
SERVICE DETAIL
Knowledge-graph-based AI search
We connect scattered knowledge into a search environment that quickly returns the answers you need.
Service overview
We connect internal documents, technical materials, and operational knowledge structurally to build a search system you can use right away.
LIVE OPERATION
Document network scan
Classify technical docs, policy materials, and manuals to identify connectable knowledge nodes.
READY
OBJECTIVE
Lift document connection rate and answer accuracy together, activating the research & consulting search hub.
Accuracy
71%
Automation
18%
SCAN 01
Run command
Select a stage and run it — the real-time result log will appear here.
Mission Progress
0 / 3 complete
Operation Log
Standing byResearch documents and internal knowledge are scattered. Run the staged scan to deploy the search system.
Key focus points
To raise search accuracy, we design both the relationships and the meaning between documents.
Beyond keyword search, we build an answer flow that matches the question context.
We fit the actual organizational environment by including permission systems and document operating policies.
Key application scenarios
Unified search across internal docs, manuals, and policies
R&D exploration on patent and technical documents
Knowledge search for customer support and expert consultation
Project deliverables
Knowledge graph and metadata structure design
RAG search and response interface build
Permission policies and operations management
Expected outcomes
Reduce information lookup time and speed up access to needed materials.
Shift knowledge dependency from individuals to organizational assets.
Improve consistency and reliability of search results.
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