What Data for This Category Looks Like
Data related to infrastructure construction mainly comes from official bidding platforms, internal enterprise construction ledgers, and equipment supplier quotation sheets. Update frequency varies by project phase. Bidding-related data is updated according to bidding milestones or monthly, while construction-related data is synced in real time with project progress. Most documents are structured tables paired with paragraph explanations. Fields include project number, budget amount (unit: ten thousand yuan), construction period (unit: days), qualification level requirements, engineering quantity (unit: cubic meters/square meters), etc. Some documents include split sub-data for multiple bidding sections, and individual documents have relatively long content.
Constraints Imposed on Forms and Interactions
Split sub-data for multiple bidding sections requires forms to support reuse of multiple field groups, to avoid cases where a single fixed field group cannot adapt to the needs of different bidding sections. Professional fields with units require forms to preset unit options to reduce formatting errors caused by manual user input. Dispersed data sources with varying update frequencies require the interaction link to support bulk import of structured data, while also configuring scheduled data source pulling interfaces to sync the latest information. Project number as a unique identifier requires forms to automatically generate or validate field uniqueness to prevent duplicate submissions. Parsing and validation of long-form content requires forms to reserve sufficient processing time to avoid submission failures caused by timeouts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Large documents such as bidding announcements and construction plans involved in infrastructure construction marketing content have large file sizes, so large file upload support is required |
similarityThreshold | 0.75–0.85 | There are many professional terms in infrastructure construction. This threshold balances recall accuracy and coverage, preventing irrelevant content from being included |
reRankTopN | Top 3–5 entries | Infrastructure construction procurement requirements often involve multi-dimensional parameters, and a small number of precise recalls can meet the information needs of marketing interactions |
formSubmitTimeout | 600 seconds | Infrastructure construction forms often include multiple sets of sub-fields, and submission validation takes a long time, so the timeout period needs to be extended |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long-form infrastructure construction documents have many parsing steps, requiring sufficient time to complete text splitting and structured processing |
questionClassifyThreshold | 0.65–0.70 | A high proportion of professional terms appear in infrastructure construction. Lowering the classification threshold reduces the chance of valid questions being misjudged as invalid |
The parameter values provided on this page are all conventional recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Errors
- Issue: When the
similarityThresholdconfiguration is set above 0.9, the recall result is empty during form interaction, and the interface displays "No matching content found". Cause: There are many professional terms in infrastructure construction, and an overly high similarity threshold filters out most relevant marketing content. - Issue: After embedding the FastGPT form via iframe, the front end can normally display the AI interaction flow, but the back-end service cannot obtain user-submitted form data and AI response results. Cause: The
formSubmitWebhookconfiguration item is not enabled, or the configured callback address does not correctly receive POST requests. - Issue: The workflow AI node returns "Procurement information is incomplete", but the user has submitted all preset procurement fields. Cause: The system prompt does not clearly limit only verifying the specified six procurement contents, and does not explain the unit and format requirements for the fields, causing the AI to mistakenly judge that information is missing.
How to Verify Correct Configuration
- Upload an infrastructure construction bidding document, check whether the file can be uploaded normally, and verify whether structured fields are correctly extracted after parsing is complete.
- Submit a test form containing complete procurement fields, check whether the back-end callback interface receives the corresponding data and AI response content.
- Adjust the
similarityThresholdparameter, submit a test question containing professional terms, and confirm that the number and accuracy of recall results meet expectations. - Trigger the workflow node, submit qualified procurement information, and check whether the AI node correctly judges information completeness without misjudgments.
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.