What the data for this category looks like
Data sources for infrastructure construction intelligent due diligence include project approval documents, construction progress ledgers, supervision and acceptance reports, cost settlement lists, government regulatory filing materials, and more. Data updates follow project node progress: updated weekly or by phase nodes after project initiation, and archived and frozen upon completion. Most documents are a mix of multi-page structured tables and text descriptions, with individual documents reaching dozens of pages. Fields include specialized engineering fields such as construction node duration (unit: days), material procurement volume (units: tons, cubic meters), cost amount (unit: yuan), approval document number, site visa number, and others.
Constraints Imposed on Model Access and Configuration by These Characteristics
Infrastructure construction due diligence data comes from scattered sources with diverse formats, requiring parameters configured to support multi-source file parsing and structured extraction. Individual documents have long length and highly specialized fields, requiring properly configured context window and segment length parameters to avoid truncating critical information. Field units and business rules are clearly defined, requiring configured field mapping and normalization parameters to ensure accurate model recognition. Data updates follow project node progress, requiring configured incremental synchronization interval parameters to balance timeliness and resource usage.
How to Set the Configuration
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Infrastructure construction documents have long single-segment content, requiring coverage of complete cost details or construction node data to avoid truncation of critical information |
recallTopK | Top 10–15 entries | Infrastructure due diligence requires covering multi-dimensional data including progress, cost, compliance, and reasonable recall counts can avoid missing key fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual infrastructure construction documents such as complete cost lists have large volume and multiple parsing steps, requiring sufficient reserved parsing time |
enableFieldExtraction | Enabled | Infrastructure construction has a large number of specialized fields and units, enabling field extraction converts unstructured content into structured data recognizable by models |
incrementalSyncInterval | Every 24 hours | Infrastructure project progress updates follow nodes, and daily synchronization balances data timeliness and system resource usage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- A 502 status code is returned when calling the MCP tool, with a connection failure prompt. The cause is that SSE protocol adaptation parameters are not configured, and only NPX mode access configuration is used.
- When calling a model that supports internet access, due diligence results do not include the latest material prices or policy information. The cause is that the internet retrieval switch outside the knowledge base is not enabled, and the model's internet access permission is not configured.
- Unit matching errors appear in retrieval results, such as recognizing "tons" for steel bar usage as "cubic meters". The cause is that field mapping configuration is not enabled, and specialized units for infrastructure construction are not normalized.
How to Confirm Proper Configuration
- Upload a single infrastructure construction document with a large number of pages, verify parsing completes within the preset time, and confirm the timeout configuration meets document parsing requirements.
- Initiate a query for project cost, check whether the returned results include correct fields and units, and confirm that field extraction and mapping configurations are effective.
- Trigger an incremental synchronization, check whether the latest project progress data is added to the knowledge base, and confirm that the synchronization interval configuration matches the project update rhythm.
- Call the MCP tool to access external material price data sources, verify that the latest data can be normally obtained and returned, and confirm that the protocol adaptation configuration is correct.
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.