Talk to sales

AI RAG Chatbot for Schools and Businesses

Deploy a Q&A assistant from internal documents using a self-hosted open model in Vietnam. Integrates website, LMS, and Zalo, with source citations, role-based access, and conversation logs.

Talk to sales

Q&A Assistant Based on Internal Documents

Build an AI RAG chatbot for schools and businesses with data ownership and access control.

Q&A from Internal Documents

The RAG assistant searches course materials, processes, policies, and operational documents, answering based on uploaded sources.

Self-Hosted in Vietnam

Run open models on domestic infrastructure, keeping internal data from being sent abroad during processing.

Integrates Website, LMS, and Zalo

Add the assistant to your website, learning system, and familiar messaging channels.

Source Citations

Each answer can include a link or source location, helping users verify information.

Role-Based Access

Teachers, students, employees, or administrators can only access documents and questions within their permitted scope.

Conversation Logs

Store questions, answers, and referenced sources to review quality, improve documents, and support operations.

Internal Data Stays in Vietnam

For schools and businesses, internal documents often contain sensitive information: transcripts, processes, HR policies, and customer data. A self-hosted RAG solution processes questions and retrieves documents on Vietnamese infrastructure, reducing reliance on foreign APIs and giving control over the data lifecycle.

  • Documents and questions are processed within the designated infrastructure
  • Data can be separated by school, department, or project
  • Monitor access, permissions, and conversation logs
  • Integrate with website, LMS, and Zalo without sending data abroad
View deployment options

  1. Define Q&A Scope

    Select internal documents, user groups, and integration channels: website, LMS, or Zalo.

  2. Standardize and Set Document Permissions

    Clean data, assign access roles, and define question scope for each user group.

  3. Deploy Open Model in Vietnam

    Install and configure an open model on domestic infrastructure, ensuring data does not leave the country.

  4. Integrate and Test

    Connect the assistant to website, LMS, or Zalo, and verify source citations, permissions, and conversation logs.

  5. Operate and Improve

    Monitor frequent questions, add documents, and adjust answers based on real feedback.

Frequently Asked Questions

Where is the data stored?

It can be deployed on infrastructure in Vietnam operated by the customer or a partner. Document and conversation data are managed within the designated scope and are not required to be sent abroad.

Do I need to use foreign APIs?

Not required. The preferred option is a self-hosted open model, giving infrastructure and data control. If needed, external services can be combined, but risks and privacy must be assessed.

Does the chatbot cite document sources?

Yes. Each answer can include a document source or reference location, helping users verify information and reduce the risk of incorrect answers.

Can teachers, students, and employees have role-based access?

Yes. The system can limit documents and questions by role, department, or course, ensuring each person only accesses permitted content.

Can it be integrated with Zalo?

Yes. The assistant can connect to website, LMS, and Zalo so users can ask questions on familiar channels while retaining permissions and conversation logs.

Ready to Deploy an Internal Q&A Assistant?

Book a demo to see how a self-hosted AI RAG chatbot in Vietnam can reduce repetitive questions, standardize information, and protect internal data.

Book a Demo