Service

AI & Knowledge Intelligence

Build enterprise knowledge bases, RAG, AI agents, and database agents so AI capabilities can serve real business workflows.

Build enterprise knowledge bases, RAG, AI agents, and database agents so AI capabilities can serve real business workflows.

Business Outcome

Bring knowledge retrieval, document Q&A, workflow assistance, and data answers into real business processes.

Typical Challenges

  • Scattered knowledge
  • Slow document retrieval
  • Hard-to-govern AI pilots
  • Business answers without traceable sources

Solution Capabilities

  • AI agents
  • RAG
  • Enterprise knowledge bases
  • Database agents
  • Industry AI applications

Industries

ManufacturingPharmaceutical distributionSemiconductorPublishingPublic services

Architecture

Reference Architecture

Break business inputs, core capabilities, governance, and user entry points into an implementable structure.

01

Business systems, documents, databases, and third-party platforms form the input layer.

02

AI agents, RAG, Enterprise knowledge bases form the core capability layer.

03

Access control, audit logs, monitoring, backup, and security policies form the enterprise governance layer.

04

Users access the capability through portals, workbenches, APIs, or automated workflows.

Scenarios

  • Scenarios that need to solve: Scattered knowledge.
  • Scenarios that need to solve: Slow document retrieval.
  • Scenarios that need to solve: Hard-to-govern AI pilots.
  • Scenarios that need to solve: Business answers without traceable sources.
  • Project-based digitalization in Manufacturing, Pharmaceutical distribution, Semiconductor and related industries.

Implementation Process

  1. 1Clarify business goals and interview stakeholders
  2. 2Inventory systems, data, permissions, and risks
  3. 3Design target architecture and implementation roadmap
  4. 4Validate core capabilities through a pilot
  5. 5Deliver phased development, integration, and testing
  6. 6Launch, hand over operations, and continue optimization

FAQ

Who is AI & Knowledge Intelligence for?

AI & Knowledge Intelligence is suitable for organizations that already have business systems, data assets, or process governance needs and want better efficiency, control, and maintainability.

How does a project usually start?

Projects usually start with business interviews, system inventory, and risk assessment, then move through pilot validation, core capability build-out, and continuous operations.

How is enterprise control maintained?

Tongfu includes permissions, logs, data boundaries, backup and recovery, and delivery documentation in the implementation process.

Technology Stack

Next.js / React / TypeScriptJava / Node.js / API IntegrationPostgreSQL / MySQL / Redis / ElasticsearchDocker / Kubernetes / CI/CDRAG / Vector Search / Enterprise Knowledge BaseCloud / RDS / Observability

Related Cases

Related Cases

Understand how this service connects with real business scenarios.

Knowledge management platform for an automotive electronics manufacturer, improving retrieval and sharing of quality, process, and R&D materials.

Manufacturing

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Knowledge management platform for an automotive electronics manufacturer, improving retrieval and sharing of quality, process, and R&D materials.

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Turn AI capability into a governed business workflow

Share your knowledge, document, or AI workflow context. We can help clarify scope, governance, and delivery priorities.

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AI & Knowledge Intelligence