What the Data for This Category Looks Like
Infrastructure construction marketing content data mainly comes from project ledgers of infrastructure enterprises connected with financial institutions, public bidding announcements, construction logs, past winning bid documents, and customized infrastructure credit and wealth management marketing materials from financial institutions. Data update rhythm follows project milestones: progress information is synchronized monthly after project initiation, and bidding announcements and winning results are updated temporarily. The data includes structured fields and unstructured content. Structured fields include project number, project cost, construction period, qualification requirements, corporate credit demand, etc., with units mostly ten thousand yuan, days, square meters. Unstructured content includes construction photos, CAD drawing text, complete construction plans, draft marketing plans and other long text fragments.
What Constraints These Characteristics Impose on Model Access and Configuration
These characteristics impose multiple constraints on model access and configuration. Numerous structured fields with specific units require the model to accurately identify and verify unit consistency, avoid parameter confusion, and meet the precision requirements of financial data. Temporary published bidding announcements and winning results require configuring on-demand pull trigger mechanisms to update the project basis for marketing content in real time. Long text such as construction plans and bid documents requires adjusting context window and segmentation parameters to avoid key information truncation and ensure the professionalism of marketing content. Mixed input of multi-source data requires configuring recall rules covering project data and financial product parameters to improve the matching accuracy of marketing content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Infrastructure marketing content includes long-text construction plans, complete bid documents and customized financial product plans, requiring sufficient context to understand professional terms and project logic |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large infrastructure documents such as CAD exported text and high-definition construction photo collections takes a long time, requiring an extended timeout threshold |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supporting documents for infrastructure projects such as CAD drawings and multi-page construction manuals have large file sizes, requiring an increased upload file limit |
Recall count | Top 8–12 entries | Infrastructure project related information includes multiple types of data such as ledgers, bidding requirements and past cases, requiring sufficient related content to generate accurate marketing plans |
Similarity threshold | 0.75–0.85 | Need to distinguish qualification levels and construction period parameters of similar projects, avoiding mismatching key financial adaptation information of different projects |
Chunk size | 1500–2000 characters | Infrastructure content is dense with professional terms. Too long segments will destroy term context association, while too short segments will split professional expressions |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfiguration Issues
- Phenomenon: Model calls return a
401 Unauthorizederror. Cause: OneAPI access key verification rules are not configured correctly, causing the platform to fail to verify authorization validity and unable to call the model to generate marketing content. - Phenomenon: Unable to access Qianfan model normally, returns a
403 Forbiddenerror. Cause: Qianfan model access permissions and region parameters are not configured correctly, and the model pre-verification process is not completed. - Phenomenon: Imported infrastructure documents such as construction logs are identified as meaningless fragments by the model. Cause: Fields are not organized in structured format, causing the model to fail to extract key information such as project number and project cost.
How to Confirm Configuration Is Complete
- Upload a single large infrastructure document such as a complete construction plan, check that the parsing log has no timeout errors, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration matches actual parsing time. - Initiate multiple concurrent model call requests, confirm that there are no service unavailable errors, and adjust concurrency configuration based on actual call peaks later.
- Import a structured infrastructure project ledger JSON file, check that the field extraction results returned by the model include preset key information, and adjust the
Similarity thresholdto optimize matching accuracy. - Test imported files in different formats such as Markdown, JSON, and plain text, confirm that structured format documents have higher extraction accuracy, and verify the rationality of format configuration.
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.