What this category’s data looks like
Brand agency marketing content data primarily originates from brand-side event registration forms, social platform user comments, and customer lead information from partner channels. Data update cycles include real-time interactive feedback, daily form summaries, and weekly campaign performance statistics. Document formats include structured Excel customer lead sheets, multi-page Word collections of user comments, and single short-text user inquiry records. Fields include sensitive contact information, service demand type, budget range, and appointment time, with corresponding units of yuan, date formats, and category tags.
Constraints Imposed on Forms and Interactions by These Characteristics
These data characteristics create clear constraints for the forms and interactions workflow. Real-time interactive feedback requires the system to support immediate responses, to avoid user loss caused by delays. Sensitive contact information fields require encrypted storage configuration to prevent data leaks. The length of multi-page Word comment collections and 15000+ row Excel data exceeds standard thresholds, requiring configuration for long-text parsing. Structured fields for budget range and service type need preset optional ranges to reduce non-standard input. The appointment time field for event registration requires a linked calendar control to prevent submission of invalid times. Additionally, brand agencies must adapt to the tone styles of different partner brands, so interaction prompt text must support flexible configuration to match the marketing tone of each brand.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports upload requirements for 100,000-character Word documents and 15000+ row Excel data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents timeout interrupts during long document parsing |
maxContext | 8000–12000 characters | Holds context from multi-round user inquiries and long document parsing results |
Recall count | Top 8 entries | Matches multi-dimensional marketing materials and user lead data for brand agencies |
Similarity threshold | 0.75 | Filters low-match invalid lead and comment data |
Sensitive Data Desensitization Toggle | Enabled | Protects sensitive fields such as user-submitted contact information |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material format, 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 Mistakes
- Issue: Output includes the text "Reference Mark: [1]". Cause: Automatic addition configuration for knowledge base reference marks is not disabled, causing source tags from retrieval results to be directly included in replies.
- Issue: Custom interface replies do not trigger after a user inputs a specified keyword. Cause: Keyword trigger rules are not configured, or the matching threshold for trigger rules is set too high, leading to incorrect keyword identification.
- Issue: Parsed content from 15000+ row Excel data is incomplete. Cause: Configuration values for
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSare not adjusted, resulting in long table parsing being interrupted or truncated.
How to Confirm Configuration Is Complete
- Upload a single 100,000-character Word document and 15000+ row Excel data, check the integrity of parsed content and parsing duration, adjust configuration items to meet business requirements.
- Submit a test form containing sensitive contact information, verify that background stored data has been desensitized, and confirm the sensitive data desensitization switch is active.
- Input preset keywords, verify that the system triggers custom interface replies, adjust keyword matching rules to meet expected trigger conditions.
- Initiate multi-round inquiries about marketing materials, verify that context is correctly retained, and adjust the
maxContextconfiguration to fit multi-round conversation length requirements.
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.