What the data for this category looks like
Building construction engineering intelligent due diligence reports are core supporting materials for financial institutions conducting engineering credit businesses. Data sources include construction permit documents filed by housing and urban-rural development authorities, construction logs, supervision weekly reports, cost settlement ledgers, on-site survey scans, and more. Update frequency is adjusted according to construction phases: incremental data is updated weekly during the construction phase, and archived data is updated monthly during the completion phase. Document structures include structured Excel cost sheets, multi-page PDF construction drawings, and Word-format supervision reports. Fields cover building area (unit: square meters), project cost (unit: ten thousand yuan), start and completion dates, construction company qualification level, material batch numbers, and more. Some documents contain both technical terminology and numerical data.
What constraints do these characteristics impose on model access and configuration
The multi-source heterogeneous data characteristics of building construction engineering require that the model access link in financial scenarios support both structured field extraction and unstructured document parsing. Differences in update frequencies require configuring scheduled incremental synchronization tasks to adapt to data update rhythms of different construction phases, meeting the needs of financial institutions to grasp project progress in real time. The existence of long documents and large-volume files requires that the model context window and upload file limit adapt to the size requirements of professional documents. The demand for professional fields and unified units requires that model configuration support custom field mapping and unit standardization processing, to avoid extraction errors caused by terminology ambiguity or inconsistent units.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single files such as construction drawings and cost ledgers for building construction engineering are usually large, so this setting must adapt to large file upload requirements |
maxContext | 8000–12000 characters | A single due diligence report requires integrating multiple construction documents, and the total context length exceeds the default configuration of general scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-scale construction drawings and multi-page supervision reports takes a long time, so extending the timeout period is required to avoid task interruptions |
Segment length | 1000–1500 characters | Building construction engineering documents contain a large number of technical terms. Too long segments will lose context association, while too short segments will increase model call costs |
Similarity threshold | 0.75–0.85 | Professional fields such as construction nodes and cost data require precise matching. A threshold that is too low will introduce irrelevant association results |
Number of recalled entries | Top 8 | Due diligence reports need to cover relevant data from multiple links such as construction preparation, main construction, and completion settlement, so a sufficient number of recalls is required to support this |
The parameter values provided on this page are 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 testing on samples specific to the deployment is recommended before finalizing the configuration.
Three Common Mistakes
- Issue: A
401 Unauthorizederror is returned when calling the model. The cause is using a general API key incorrectly, failing to use an application-specific key, and not binding exclusive permissions for the building construction due diligence scenario. - Issue: In a local deployment of version 4.9.6, no image understanding model option appears when creating a knowledge base. The cause is not enabling the multimodal model loading parameter in the deployment configuration, which prevents effective parsing of construction drawing scans for building construction engineering.
- Issue: Empty cost field data is returned after knowledge base indexing. The cause is not configuring custom field mapping rules, and not aligning structured fields in documents with model extraction targets.
How to Confirm the Configuration Is Complete
- Upload a single building construction drawing file that complies with the
UPLOAD_FILE_MAX_SIZEconfiguration, and check that the parsing task status shows completed with no abnormal errors. - Extract structured fields from the document, and confirm that returned fields such as building area and project cost match the professional fields in the original document.
- Initiate a model call request, and check that the context length of the returned result does not exceed the
maxContextconfiguration range. - View the authentication log, and confirm that the API key used is an application-specific key, and that general keys were not used for authentication.
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.