Scattered Materials
Policies, standards, engineering documents, and business rules are scattered across systems and teams.
Yellow River Conservancy Commission
qKnow unifies policies, standards, engineering documents, and historical cases to support Yellow River governance, consultation, drafting, and professional Q&A.
Customer Challenges
Water conservancy materials are extensive and fragmented, while traditional retrieval cannot meet the need for fast queries and accurate answers in complex operations.
Slow Search
Keyword search and folder browsing make professional knowledge slow to find.
Unreliable Answers
File-based search lacks context, leading to inconsistent answers and evidence.
Lost Expertise
Expert know-how and cases are hard to retain and reuse when teams change.
Why qKnow
Ground large models in trusted knowledge so they truly understand water conservancy operations and continuously support real work.
Multi-source Knowledge
Unify policies, procedures, engineering documents, rules, and cases in one governed knowledge base.
Traceable Answers
Use RAG to return professional answers with cited files, passages, and source locations.
Knowledge Graph Context
Map relationships across rivers, projects, institutions, standards, events, and operations.
Flexible Agent Building
Combine LLMs, knowledge bases, graphs, and tools to quickly build domain agents.
Secure Private Deployment
Keep documents, knowledge, and model calls inside the customer environment with secure access control.
Continuous Knowledge Ops
Manage updates, versions, evaluations, and feedback to continuously improve answer quality.
Solution
Connect content aggregation, knowledge governance, intelligent Q&A, and business applications to build a professional knowledge service system for Yellow River governance.
Overview
Centered on qKnow, the Yellow River LLM application unifies policies, procedures, engineering materials, business rules, and historical cases under one knowledge-management system.
Document parsing, chunking, vector retrieval, knowledge graphs, and LLMs turn source materials into searchable, usable AI knowledge assets. Agent orchestration then supports professional Q&A, procedure lookup, assisted drafting, and business consultation through one trusted service.
01
Unified Knowledge Foundation
Connect policies, technical standards, engineering materials, business rules, and historical cases. Parse, classify, chunk, index, and version documents to turn fragmented content into structured, attributable, continuously updated water conservancy knowledge assets.
02
Water Conservancy Knowledge Graph
Build a knowledge graph covering rivers, reservoirs, water projects, management organizations, standards, business matters, and historical events. The resulting relationship network supports complex retrieval, relationship analysis, and professional reasoning.
03
Professional Q&A Assistant
Combine LLMs with knowledge-base RAG to answer natural-language questions about policies, business rules, technical standards, and engineering documents, returning citations and source evidence to improve retrieval efficiency and answer trustworthiness.
04
Intelligent Application Orchestration
Visually combine LLMs, knowledge bases, knowledge graphs, and business tools to build agents for policy consultation, procedure lookup, assisted drafting, and business knowledge Q&A across departments and roles.
05
Assisted Document Drafting
Use policies, business rules, historical materials, and professional knowledge bases to generate outlines, continue content, validate standards, and recommend citations for reports, presentations, meeting minutes, and business documents.
06
Knowledge Operations and Governance
Establish continuous operations around knowledge updates, versioning, content review, Q&A evaluation, and user feedback to identify outdated knowledge, low-quality answers, and gaps, ensuring long-term accuracy, stability, and improvement.
Customer Benefits
Move from manual searches and individual experience to unified knowledge services and intelligent business assistance.
Before
- Materials spread across systems and teams
- Repeated search and staff enquiries
- Search returns file lists only
- Answers vary by person
- Expert knowledge is hard to retain
- Long onboarding for new staff
After
- Water materials managed in one place
- Fast natural-language knowledge search
- Answers include sources and citations
- Consistent guidance across teams
- Expert knowledge retained and reused
- Intelligent apps deployed quickly
Unified Base
Standardize fragmented materials into current, governed knowledge.
Fast Search
Search files directly in natural language and ask follow-up questions.
Cited Answers
Show sources and citations so every answer can be verified.
Expert Reuse
Retain expert knowledge and cases for reuse across the organization.
- 90%
- Search Time
Reduced - 90%
- Common Q&A
Auto-answer Rate - 100K+
- Managed
Knowledge Items - 80%
- Professional Q&A
Hit Rate
Project Value
Turn fragmented Yellow River water-conservancy knowledge into sustainable intelligent capabilities for daily operations.
Knowledge Assets
Manage policies, standards, engineering documents, and business experience as current, reusable knowledge assets.
Business Efficiency
Shorten research and consultation while reducing repeated searches, manual organization, and cross-team coordination.
Domain Expertise
Combine knowledge bases, knowledge graphs, and LLMs to support complex water-conservancy work with trusted expertise.
Reusable AI Apps
Reuse shared platform capabilities and application templates to expand more water-conservancy AI services.
Contact Us
Explore the project approach, implementation, and outcomes, and receive practical guidance tailored to your organization's knowledge and data foundation.
Case Guide
Review the background, challenges, solution, and implementation results.
Product Demo
See core product features and how they work in real use.
Similar Cases
Learn how similar organizations plan and deliver knowledge platforms.
Project Advice
Get initial implementation advice for your current foundation and goals.
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1:1 Consultation
- Dedicated Advisor
- Needs Review
- Ongoing Support
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