What the data for this category looks like
Data for water treatment-related marketing content comes primarily from three sources: online water quality monitoring devices, monthly water utility operation reports, and pipeline inspection logs. Real-time monitoring data updates at second-to-minute intervals. Batch reports and customer requirement documents update daily or weekly.
Document structures fall into three categories: real-time snapshots for single devices, batch inspection summary sheets, and customized requirement forms. Core fields include COD (mg/L), pH value, flow rate (m³/h), and turbidity (NTU). Some documents include metadata fields such as device ID and inspection time.
What constraints do these characteristics impose on forms and interactions
The second-to-minute update frequency of real-time monitoring data requires forms to dynamically load the latest parameter options, preventing the display of outdated information. The multi-field, multi-format document structure requires forms to support columnar layouts and batch upload of multiple files, adapting to multi-column data entry for inspection reports. Fixed units for core fields require forms to preset unit suffixes, blocking users from entering incorrectly formatted values freely. The scale of batch data requires forms to support segmented submission and progress saving, avoiding timeouts caused by overly large single-submission data volumes.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch water treatment inspection Excel files usually contain dozens of records, so the parsing duration needs to cover multi-file batch processing scenarios |
Segment Length | 800–1200 characters | Core water treatment fields are mostly short numerical values with units. Overly long segments will cause semantic fragmentation, adapting to the segmentation needs of multi-column data |
FORM_INPUT_ALLOW_CUSTOM_UNIT | false | Industry fields all have fixed units. Preset units can prevent users from entering incorrectly formatted values |
UPLOAD_FILE_MAX_SIZE | 100 MB | The single-file size of batch inspection reports usually does not exceed 50 MB, reserving reasonable buffer space |
AUTO_PARSE_MULTI_COLUMN | true | Multi-column Excel files need to automatically recognize headers and data rows, reducing manual configuration workload |
DEFAULT_EMBEDDING_MODEL | text-embedding-ada-002 | Some third-party models have compatibility limitations. Presetting a mainstream model can avoid model matching errors |
The parameter values provided on this page are common recommendations for establishing a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: An
undefined model must match "^(text-embedding-.*)$"error is returned when calling the knowledge base. Cause: No default embedding model is configured, or a non-text embedding model is selected. - Symptom: Multi-column Excel data is randomly split after automatic segmentation, and cannot match business requirements by row. Cause: The multi-column automatic parsing configuration is not enabled, or the segment length is set too short, causing single-row column data to be truncated.
- Symptom: When calling a published workflow via API, the interaction prompt of the form input component is not triggered. Cause: The form trigger logic in API mode is not enabled in the workflow configuration, or the session ID parameter is not passed correctly.
How to confirm the configuration is correct
- Upload an Excel test file containing multi-column water quality parameters, check whether the parsed data automatically maps fields according to headers, with no random splitting.
- Initiate an API call test, pass the session ID and form component configuration, confirm that interaction prompt information including preset fields and unit options is returned after the call.
- Modify the embedding model to another model other than text-embedding-ada-002, verify whether a model matching error is triggered, confirming that the default model configuration takes effect.
- Submit test data with incorrect units, check whether format verification interception is triggered, confirming that the unit restriction configuration takes effect.
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.