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KNOWLEDGE HUB · Data Intelligence Planned

Knowledge Hub

Bring enterprise knowledge together, organize it automatically and make it answerable anytime, turning it into the super brain of the team

80% of enterprise knowledge is scattered across documents, spreadsheets and chat logs — impossible to find, use or retain. Knowledge Hub uses RAG retrieval-augmented generation plus LLM semantic understanding to consolidate, organize and answer questions from enterprise knowledge — employees ask in one sentence and get accurate, cited answers in seconds.

92%

AI Q&A accuracy*

300%

Information management efficiency gain*

Sub-second

Full-library search response

*Based on public industry case studies; subject to actual testing.

Knowledge HubKnowledge Hub

Knowledge documents

48,362articles ingested

92%

AI Q&A accuracy (industry case)

300%

Information management efficiency gains (industry case)

+30%

Retrieval accuracy versus traditional methods (industry case)

5×

Research analysis efficiency gains (industry case)

What It Solves

Knowledge scattered everywhere is the biggest hidden waste

Four chronic knowledge management problems are slowing every team down.

Cannot be found

Knowledge is scattered across departments' documents, spreadsheets and chat logs; keyword search fails and key information passes person to person.

Cannot be retained

Veteran experience lives only in individual memory, so knowledge leaves with the person and the same problems recur.

Cannot be managed

Document versions are chaotic and permissions uncontrolled; outdated policies keep circulating after updates, creating real risk.

Cannot be used

Massive document collections go unused; knowledge sits on servers without becoming team productivity.

Core Features

Eleven capabilities that turn knowledge into productivity

Capture, organize, Q&A, and governance across the full knowledge lifecycle.

01

Multi-source knowledge collection

Drag and drop Word, PDF, Excel, PPT, scanned documents or web pages, with Confluence migration and bulk import.

02

Smart document parsing

Documents in any format convert to text automatically and are split into knowledge chunks by semantic logic to preserve complete meaning.

03

Vectorized into the store

NLP automatic cleaning and vectorization, plus automatic crawling of online documents, greatly reduces ingestion work.

04

AI Q&A

RAG retrieval-augmented generation with pure natural-language Chinese Q&A and cited answers.

05

Multi-model engine

Supports dynamic switching or mixed calls across models such as Hunyuan and DeepSeek to balance cost and performance.

06

Knowledge Graph

Knowledge extraction, relational reasoning and visualization reveal the knowledge network and missing links.

07

Access Control

Set read, edit and export permissions by role or department, with separate authorization for confidential documents.

08

Version Management

Version history plus multi-user collaborative editing keeps content always current and accurate.

09

Smart recommendations

It proactively pushes relevant materials based on employee behavior and interests, so knowledge finds people instead of the reverse.

10

Multimodal Fusion

Search text, images, tables, audio and video in one place — ask once and hit the whole knowledge base.

11

Data Analytics

It tracks document usage and user behavior, generating reports that support knowledge operations decisions.

AI Q&A Knowledge base management Knowledge Graph
Highlights

From a document repository to a knowledge hub

Know

Semantic understanding

It understands question intent and context, not just keywords, answering complex professional questions precisely.

High

Traceable answers

The RAG architecture attaches citations to answers with up to 92% Q&A accuracy, effectively solving the hallucination problem of large models.

Act

Dynamic self-learning

Answers keep improving with user feedback and new data, so the knowledge gets smarter with use.

All

Multimodal Fusion

Search text, images, tables, audio and video in one place — ask once and hit the whole knowledge base.

Use Cases

Four typical scenarios that hit real business pain points

Unstructured knowledge such as product manuals, technical docs and support conversations is consolidated, with instant Q&A for R&D, training, policy and support scenarios

01

R&D knowledge Q&A

Typical Scenarios

02

New employee training and mentoring

Typical Scenarios

03

Unified management of policy documents

Typical Scenarios

04

Knowledge support for customer service and after-sales

Typical Scenarios

Business Value

Knowledge assets grow more valuable with use

⚡

Efficiency leaps

Finding knowledge goes from half a day of digging to seconds of Q&A, sharply shortening onboarding.

🧠

Knowledge Capture

Veteran experience and project retrospectives are captured automatically, so knowledge stays when people leave and organizational capability is retained.

🛡️

Secure and controllable

Fine-grained access control plus version tracking give tiered authorization for sensitive knowledge and assured compliance.

Why WaoX

Our Advantages

P

Positioned as the knowledge hub

An upgrade from storage and retrieval to intelligent understanding and generation, covering the full knowledge chain from capture to update to application

H

Hybrid retrieval

Vector search, keyword search and metadata filtering give a clear edge on complex professional questions

O

On-premise Deployment

Supports on-premise deployment and private vector databases, so sensitive data never leaves the company

T

Tacit knowledge mining

Knowledge extraction plus model reasoning to mine tacit experience and answer precisely

Deployment and security

Enterprise-grade deployment with security and compliance assured

From deployment model to data security, we vet the decision for large-enterprise procurement.

☁️

Public cloud SaaS

Ready out of the box with on-demand subscription and minute-level activation, ideal for teams that need to launch fast.

🏢

On-premise Deployment

Data never leaves the enterprise, with support for intranet and private cloud environments that meet the requirements of finance, government and other sensitive sectors.

🔀

Hybrid cloud architecture

Core data stays local while elastic compute scales in the cloud, balancing security and cost.

💻

All-in-one appliance delivery

Integrated hardware and software work out of the box with no maintenance or integration work, ideal for branch offices and edge scenarios.

🔒

Data encryption

TLS encryption in transit, AES-256 at rest, with complete key custody and rotation policies.

👥

Permission control

Fine-grained RBAC permissions plus SSO single sign-on: one identity per person, authorized on demand.

📜

End-to-end Audit

Full, traceable operation logs that satisfy internal control and regulatory inspection requirements.

🛡️

Compliance certification

Supports MLPS 2.0, the Personal Information Protection Law, GDPR and other compliance requirements, with ongoing tracking of regulatory changes.

Every question gets a knowledge-grounded answer

Book a demo to experience the AI-driven enterprise knowledge hub.

This page is a product design concept. Features and data are based on industry research; actual capabilities are subject to the official release.