What This Type of Data Looks Like
Construction consulting investment research data mainly comes from engineering pricing quotas released by housing and urban-rural development departments, cost indexes from industry associations, project survey and mapping reports, bidding winning bid lists, and special technical solutions. Data update rhythms fall into three categories: Pricing quotas receive partial updates quarterly. National engineering codes are revised every 1 to 2 years. Individual project documents are updated alongside project cycles. Document structures include structured pricing tables, long-form technical explanations, and normative documents with clause numbers. Fields cover project code, material model, unit of measurement (cubic meters, square meters, machine shifts, etc.), unit price, applicable region, and effective date.
Constraints for Database and Operations
High proportions of structured tables and numerous field dimensions require joint indexes for project code, material model, and applicable region. This ensures efficient multi-condition queries. Large differences in data update rhythms require separate database and partition storage for quota data, normative data, and project documents by update cycle. This avoids full table scans. Individual project documents update alongside project cycles. Project-level data isolation must be implemented to prevent cross-project data confusion. Unified unit of measurement storage and verification logic must also be added. This prevents query errors from mismatched units such as cubic meters or machine shifts. A notable share of long-form technical documents requires large-field storage and full-text retrieval capabilities with professional term tokenization.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MAX_CONCURRENT_REQUESTS | 15-20 | Construction consulting investment research queries mostly use multi-condition combinations. Too high concurrency will exhaust the database connection pool, while too low will fail to support team collaborative queries |
SQL_QUERY_ENABLED | Enabled | A large number of structured pricing tables exist in construction consulting data. SQL queries can directly obtain accurate quantities of works and unit prices for materials, labor and machinery |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Documents such as construction consulting survey reports and quota compilations are lengthy. Their parsing time far exceeds general scenarios, preventing timeout truncation |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single large engineering documents can reach gigabyte scale. Allowing full uploads retains all investment research data |
Recall count | Top 20 results | Investment research analysis requires coverage of multi-dimensional norms and cost indicators. Too few recalled results will miss key reference bases |
Similarity threshold | 0.72-0.78 | Engineering terms have high semantic similarity. This range filters irrelevant results while retaining valid data from approximate matches |
The parameter values provided on this page are common starting point recommendations. Actual values are affected by material form, 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 Configuration Mistakes
- API calls return 429 status codes, or query responses are slow and unresponsive. The
MAX_CONCURRENT_REQUESTSparameter is not adjusted. The default concurrency limit is insufficient to support multi-person collaborative investment research queries for construction consulting teams. - Unable to obtain engineering pricing data from the SQL database. Structured unit price information is missing from knowledge base recall results. The
SQL_QUERY_ENABLEDconfiguration is not enabled, or the database connection string is not configured, preventing association with the data source. - Exported backup files cannot be split by material type or business category, and can only be exported for the entire knowledge base. The knowledge base export granularity configuration is not adjusted. The default setting only supports export by knowledge base dimension, which does not adapt to the construction consulting business need to manage data by business category.
How to Confirm Proper Configuration
- Initiate more than 10 concurrent investment research query requests. Observe interface return status codes to confirm no 429 errors. Calibrate concurrency limits based on actual team collaborator counts.
- Execute a multi-condition query including material model and applicable region. Confirm corresponding pricing data can be obtained from the associated SQL database, verifying
SQL_QUERY_ENABLEDconfiguration is active. - Attempt knowledge base data export. Confirm export can be split by business category or project dimension, verifying backup granularity configuration meets business needs.
- Upload a large engineering survey report. Confirm parsing completes without timeout errors, verifying
PARSE_FILE_TIMEOUT_SECONDSconfiguration adapts to document length.
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.