What the Data for This Category Looks Like
Marketing-related data for investment platforms comes primarily from three sources: platform-owned user behavior databases, partner institution product databases, and user-submitted review information. User behavior data includes holding records and access logs, with updates occurring in real time or T+1. Basic product data includes asset type and minimum investment threshold, with daily updates. Risk assessment data updates immediately after user submission. Data documents use structured formats, divided into three categories: user profiles, product information, and access logs. Fields include user ID, risk level, holding type, product code, investment duration, and others. Monetary fields use yuan as their unit. Enumerated fields use fixed value ranges.
Constraints Imposed on Forms and Interactions
The real-time nature of user behavior data requires forms to dynamically pull the latest information. Thus, interactions must support on-demand loading of user profiles and product data to avoid displaying outdated content. Product data updates daily, so product options in forms cannot rely on local caching. They must pull the latest list from the backend at regular intervals. The structured nature of fields requires form validation rules to match fixed enumerated values and numeric formats. For example, monetary fields must comply with the platform’s unit specifications, and risk level fields must sync with backend enumerated values. Additionally, form data submitted by users must link with backend user profiles and product data to dynamically adjust subsequent interaction logic. For example, matching product options are displayed based on the user’s holding type.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
dynamicFormDataSource | Pull the investment platform product database daily + pull user profile data in real time | Product data updates daily, user behavior data changes in real time. This ensures the form loads the latest business data |
formFieldValidationRules | Restrict monetary fields to positive real numbers; bind risk level fields to backend enumerated values | Match the structured characteristics of investment platform form fields, avoid invalid inputs and mismatched enumerated values |
recallTopK | Top 3-5 entries | Investment platform product information has a large number of entries. Too many recall entries increase form loading time; too few fail to cover user potential needs |
workflowModelSelectSync | Bind the list of models deployed on the platform | Avoid empty model dropdowns, ensure the workflow can call configured available models |
chatReferenceReturn | Manually enable based on business needs | Adapt to the default return reference exception in FastGPT 4.9.4 version, manually control the display logic of reference content |
apiRequestTimeout | 15 seconds | Investment platform marketing forms require fast user response. Timeouts lead to user churn, so balance data pulling and response speed |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Phenomenon: When calling the OpenAI SDK to connect to a FastGPT application, the conversation flow cannot be triggered normally. Cause: The application's API key and application ID are not configured correctly, or the request parameters do not include the correct context fields.
- Phenomenon: The online chat interface shows no knowledge base selected, but the function works normally in debug preview. Cause: The knowledge base binding configuration of the online environment has not been synchronized to the production environment, or old configuration data is cached.
- Phenomenon: After enabling the
chatReferenceReturnswitch, reference content is returned even if no reference source is configured. Cause: FastGPT 4.9.4 version has an exception where reference return is enabled by default, and the switch configuration is not correctly recognized.
How to Confirm Configuration is Complete
- Access the form configuration page and confirm that the dynamic data source pull frequency matches the business requirements for update rhythm.
- Submit a test form and verify that field validation rules block non-compliant input.
- Enter the workflow editing page and confirm that the model dropdown list includes deployed available models.
- Manually trigger the conversation flow and check that the reference return switch status matches the configured settings.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.