What the Data for This Category Looks Like
Engineering consulting supervision data originates from on-site engineering supervision weekly reports, sub-project acceptance records, engineering change negotiation documents, and on-site supervision ledgers. Update frequency aligns with project progress. Individual document lengths vary significantly. Core fields include project ID, supervision section, acceptance milestone, rectification requirements, and rectification completion deadline. Standard engineering units such as square meters, workdays, and ten thousand yuan are used. Each document is linked to a unique project identifier.
What Constraints These Characteristics Impose on Forms and Interactions
Supervision data is stored split by project section and acceptance milestone. Form interactions must support filtering associated data by section and milestone to prevent cross-project data confusion. The rectification requirements field must include a time input control. Optional dates must not be earlier than the project's start date. Individual supervision document lengths vary widely. The form's content entry area must adapt to long text input. It must also limit the character range of single entry content to avoid subsequent processing errors. Specialized engineering fields must have preset standard unit options to reduce manual input errors.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Preset Form Fields | Include project ID, supervision section, acceptance milestone, rectification deadline | Matches the standard business form structure of engineering consulting supervision, adapts to core fields for business process guidance |
userSelect | Bind to the project ID field as a filter condition | Allows users to quickly locate knowledge base content for the corresponding project via project ID, aligns with project-based management logic in engineering management |
| Chunk Length | 800–1200 characters | Adapts to the wide range of individual supervision document lengths, avoids context breaks from overly short chunks or reduced retrieval accuracy from overly long chunks |
formInput | Enable long text input mode | Meets content entry needs for long documents like supervision logs and acceptance records |
| Form Validation Rules | Enable required field validation and format validation | Ensures fields such as rectification deadlines and acceptance milestones comply with engineering industry standards |
| Single Associated Data Limit | Top 6 entries | Matches the number of historical supervision records that need to be called for a single business process, avoids information overload |
Three Common Mistakes
- Phenomenon: Invalid array length error pops up after selecting question-answering splitting mode, occurs consistently. Cause: Knowledge base data is not split by project section, leading to abnormal array length during chunking.
- Phenomenon: Token validation failed error pops up during voice input in the chat interface. Cause: Long text length of form input is not limited, leading to token overflow.
- Phenomenon: Image-based supervision document content cannot be recognized after configuring question-answering splitting. Cause: No image upload associated field is added to the form, so the knowledge base cannot capture image information.
How to Confirm Configuration Is Complete
- Enter a standard supervision acceptance record. Check if the form automatically fills preset fields and if unit options comply with engineering industry standards.
- Enter a project ID. Verify that
userSelectcan quickly filter knowledge base content for the corresponding project. - Adjust the chunk length parameter. Enter a long-text supervision document. Check if the chunk results fall within the expected range.
- Submit a form with required fields left blank. Check if corresponding validation prompts are triggered.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.