Environment Check and Confirmation

Function Description

After the AI Central platform deployment is completed, administrators need to perform environment check and confirmation operations to ensure that model configurations, system dependencies, and authorizations are all in a valid state.
This step is a key link to guarantee the stable operation of system functions (such as document recognition, speech recognition, translation, RAG, etc.).

Scope of Check

The environment check mainly includes the following modules:

Check Steps

Open Model Management

Go to Management > Model Management, and check the following items in order:

Model Set

• Confirm whether the following standard models exist:

  • LLM

  • Embedding

• If missing, please contact the system administrator to re-import the model set.

Model Group

• Check whether model groups have been configured according to business scenarios, for example:

  • Chat / RAG / Translation / PDF Parsing / OCR, etc.

• Confirm that the models referenced in each model group are consistent with the actual supported scope.

Default Model Setting

• Enter the "Default Model Setting" page and confirm the default bound models item by item (as in the example below):

  • translate → gpt-4.1-mini

  • gallery rednote → gpt-4.1-mini

  • recommend config → gpt-4.1-mini

  • gallery chat lead → gpt-4.1

  • optimize prompt → gpt-4.1

  • rag → gpt-4.1

  • i18n translation → gpt-4.1-mini

  • gallery mindmap → gpt-4.1-mini

Tip: For tasks with large computational demands or high inference capability requirements (such as knowledge retrieval, complex problem analysis, prompt optimization, etc.), models with stronger performance should be prioritized;

Tip: For lightweight scenarios (such as text translation, summary generation, daily copywriting processing, etc.), models with faster response speed and lower cost can be selected to balance performance and efficiency.

Common Issues and Solutions