What the data for this category looks like
Data sources for building construction engineering research reports mainly include public engineering quota documents from the national Ministry of Housing and Urban-Rural Development, building construction engineering valuation standards released by local housing and construction commissions, industry association journals, and special research reports from top design institutes. Update cycles vary significantly: national standards are revised every 2 to 3 years, local standards are adjusted alongside local policies, bidding-related research reports are updated in real time as projects progress, and industry journals are released monthly. Document structures include project overview, cost details, material parameters, construction technology, and compliance analysis. Fields include building area (unit: square meters), unit area cost (unit: yuan per square meter), construction period (unit: days), and more. Single article word counts range from thousands to tens of thousands, with mixed structured tables and long text descriptions.
What constraints do these characteristics impose on model access and configuration?
The multi-structure features and varying update cycles of building construction engineering research reports impose multiple constraints on the model access and configuration process. First, documents mix structured tables and long text. Models must support segmented parsing that preserves table structure, to avoid breaking the association between cost parameters and their corresponding descriptions during splitting. Second, field units have strict requirements. Parameter verification logic must be configured to ensure the model can accurately identify and associate unit information for fields such as building area and unit area cost, to avoid parameter matching deviations. Third, timeliness requirements differ. Real-time data source synchronization must be configured for bidding-related research reports, while national standard data can be updated quarterly. Different recall trigger rules must be configured for distinct data sources.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Building construction research reports have wide single-article word count ranges. This interval covers the core cost and technology content of most single research reports, preventing key parameters from being truncated |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Building construction research reports contain large numbers of structured tables and long text, with parsing time longer than general documents. 300 seconds covers the parsing process for most large-volume research reports |
recall_top_k | Top 8–12 results | Cost parameters and technology descriptions in building construction research reports have strong correlation. Excessive recall introduces irrelevant content, while insufficient recall fails to cover all key information |
similarity_threshold | 0.75–0.85 | Building construction domain terms are highly specialized. Strict matching of semantic relevance is required to avoid recalling unrelated engineering research reports |
WORKFLOW_RETRY_MAX_TIMES | 2–3 retries | Some open-source models have insufficient call stability. Retries reduce failures caused by temporary network fluctuations or model rate limiting |
RERANK_TOP_K | Top 4–6 results | Building construction research reports have many professional terms. Reranking filters low-correlation recall results to improve accuracy |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A
504 Gateway Timeouterror occurs when the workflow calls the model, and the error persists after retries. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not configured, or its value is lower than the actual parsing time of building construction research reports, causing the parsing process to time out without completion. - Symptom: Recall results include non-building construction general engineering documents, and field matching has deviations. Cause: The
similarity_thresholdvalue is too low, failing to filter content with insufficient semantic relevance, or recall rules are not adjusted for building construction domain terms. - Symptom: Cost parameter units returned by the model are mixed, with cases where "yuan" and "yuan per square meter" are used together. Cause: Field verification logic is not configured, or the
maxContextvalue is too small, preventing the model from fully reading unit description fields in the research report.
How to Confirm Successful Configuration
- Upload a typical building construction engineering research report, review the parsed text structure, confirm that table and text splitting does not break parameter association, and verify that parsing time falls within the range configured for
PARSE_FILE_TIMEOUT_SECONDS. - Initiate a retrieval with a clear building construction professional question, check if the number of recall results matches the
recall_top_kconfiguration, and verify that the similarity threshold filters irrelevant content. - Trigger a model call failure scenario, confirm if the workflow retries according to the
WORKFLOW_RETRY_MAX_TIMESconfiguration, and check if normal results are obtained after retries. - Review the model's returned results, confirm that unit information for fields such as building area and unit area cost is accurately identified and associated, and verify that the field verification logic is active.
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.