Core RAG & agent development
Implementing retrieval, generation and core agent logic around real business requirements.
AI AGENT & RAG ENGINEERING · HANGZHOU
Agents for
real work.
Hands-on RAG and agent engineering, backed by a 20-person team spanning full-stack development, algorithms, data and QA.
Written Japanese / Meetings in English
ENGINEERING, TOGETHER.
From knowledge to agent action.
01
KNOWLEDGE
Documents · Knowledge · Business data
02
AGENT CORE
Retrieval · Inference · Tool integration
03
WORKFLOW
APIs · Business systems · Deliverables
Evidence tracking · Evaluation · Testing
From core logic to business integration.
20People available for sustained delivery
4Connected engineering disciplines
2Project delivery / Full-time engagement
01 / AGENT ENGINEERING
From core logic
to business integration.
Team members bring hands-on experience implementing core RAG and AI-agent logic, and independently developing LLM tools for exam authoring and review.
MEMBERS’ HANDS-ON EXPERIENCEKnowledge & evidence systems
Building knowledge bases and graphs to trace supporting evidence for authoring and review.
Multi-model integration & operations
Routing across LLM providers, API-key authentication, tenant isolation and usage management.
RECENT PRODUCT / WENQU EQ-AGENT
WenquEQ-AGENT
An agent for the exam-authoring workflow.
A recently developed, local-first agent product connecting source reading, question generation, review and output archiving. It integrates an open-source agent core with a domain-specific workflow.
- 01Understand
- 02Read sources
- 03Generate
- 04Review & revise
- 05Archive
ENGINEERING FOCUS
Tool execution & multi-agent coordination
File operations and validation steps, with coordinated planning and execution.
Reusable Skills
Structured expert workflows, quality standards and checklists for repeatable use.
Context, permissions & audit trails
Long-running task context, scoped permissions, approvals and execution records.
Local execution & intranet models
Workflows running in a local application, connected to intranet-hosted models.
The current case shows high-school mathematics question generation, self-checks and Markdown output.
02 / ENGINEERING CAPABILITIES
The systems
around your agent.
We define the scope and technical approach around your goals and existing environment.
01
RAG & knowledge systems
Enterprise knowledge retrieval, document-grounded answers and workflow integrations, supported by a clear evaluation approach.
02
OCR & document processing
Text extraction, structured field processing and downstream system integration for images and PDFs.
03
Model inference & deployment
Inference environments with performance and cost evaluation, tailored to your operating requirements.
04
Full-stack & data engineering
Web applications, APIs and data pipelines, with testing built into delivery.
03 / THE TEAM
Specialist skills.
A connected team.
A stable capacity of 20 people. We assemble the right mix of roles for your project’s scope and stage.
Our team includes engineers with experience at Alibaba DAMO Academy’s Artificial Intelligence Center.
20people
ENGINEERS & QA
10people
Full-stack development
Web · APIs · Integration
5people
AI & algorithms
Models · Retrieval · Inference
2people
Data engineering
Processing · Pipelines
3people
Testing & QA
Functional testing · Quality checks
04 / WORKING TOGETHER
The right shape of collaboration.
Match the engagement to your scope, specialist needs and timeline.
PROJECT DELIVERYA
A team for your project
We assemble a team to deliver an agreed scope, from development and validation through to handover.
- Defined scope and deliverables
- Progress shared against milestones
- Agreed acceptance criteria
FULL-TIME ENGAGEMENTB
Capacity for your team
Engineers join your development workflow for an agreed duration, with roles and capacity matched to your needs.
- People matched to the required roles
- Collaboration with your existing team
- Agreed capacity and duration
Written Japanese. Meetings in English.
Align requirements and decisions in writing, with technical discussions in English.
05 / FROM BRIEF TO DELIVERY
A clear path to handover.
- 01
Understand the brief
Clarify workflows, challenges, priorities and your existing environment.
- 02
Agree on scope and team
Define deliverables, responsibilities, milestones and validation methods.
- 03
Build and validate
Share progress and develop in stages, with testing throughout.
- 04
Deliver and hand over
Review agreed outputs and transfer the information needed to operate them.
LET’S BUILD SOMETHING USEFUL
Tell us what
you’re building.
Your requirements, preferred timeline and the people you need. Let’s start with what you know.
kxbkey@gmail.com
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- Company
- 杭州云眼数据科技有限公司
- Location
- Hangzhou, Zhejiang, China