What Data for This Category Looks Like
Building engineering research report data primarily comes from Ministry of Housing and Urban-Rural Development public compliant documents, local housing and urban-rural development department announcements, industry association journals, and design institute special project reports. Update rhythm varies by content type: policy documents are updated quarterly, while special project reports are released irregularly alongside project implementation progress. Document structures typically include modules such as project overview, cost breakdown, material parameters, construction technology, and compliance check requirements. Fields include building area (unit ㎡), unit area cost (unit yuan/㎡), material specification and model, construction period (unit day), and others. Some documents include CAD drawing attachments and on-site photos.
Constraints for Deployment and Upgrade
The multi-source, scattered nature of building engineering research report data requires adapting a mixed parsing process for structured tables, unstructured text, and CAD drawing attachments during deployment. Corresponding format parsing plugins must be configured in advance. The data update rhythm includes both regular and irregular updates. During the upgrade phase, incremental sync trigger rules need to be adjusted to avoid excessive resource consumption caused by full data pulls. Engineering-specific fields and units require the vector database index to support numeric fields with units, preventing matching errors due to unit mismatches during retrieval. CAD drawing attachments included in some documents also require additional configuration of a lightweight parsing module to extract text metadata.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Building engineering research reports often include CAD attachments and long text, with long parsing times. 600 seconds covers most complete parsing workflows |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some special research reports include high-definition CAD drawings and multi-page documents. Single file size can reach large specifications. 2000 MB covers conventional upload requirements |
Recall Count | Top 15-20 entries | Building engineering research reports have high professional segmentation. A sufficient number of related entries must be recalled to cover retrieval needs for different construction links |
Similarity Threshold | 0.75-0.85 | Engineering terminology has high semantic similarity. A threshold that is too low will introduce irrelevant results, while a threshold that is too high may miss accurate matches |
Incremental Sync Trigger Rules | By project node + weekly supplementary updates | Policy research reports are updated quarterly, and special project reports are released as progress progresses. Combined trigger rules balance timeliness and resource usage |
VECTOR_DB_TYPE | milvus | The volume of vector data for building engineering research reports grows continuously as projects accumulate. Milvus supports high-concurrency retrieval and distributed scaling, adapting to long-term upgrade needs |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue:
pgvector connection refusederror occurs during deployment, and container startup fails. Cause: Redundant database configuration items for pgvector, ob and other databases in the compose file were not properly commented out, resulting in multiple conflicting dependent components being loaded during startup. - Issue: Parsing results are empty after uploading CAD attachments, and drawing metadata cannot be extracted during retrieval. Cause: The parsing plugin for the corresponding CAD format was not installed, or the CAD parsing switch was not enabled in the system configuration.
- Issue: A large number of irrelevant municipal engineering contents are returned in search results, and recall accuracy is low. Cause: The similarity threshold was set below 0.7, failing to filter non-building engineering research reports with similar semantics but mismatched domains.
How to Verify Proper Configuration
- Upload a building engineering research report containing CAD drawings and cost tables. Check if the parsing result includes drawing metadata and structured cost fields to confirm that parsing plugins and format configurations are effective.
- Manually trigger an incremental sync. Check if the sync log only updates newly added research report files and does not repeatedly process already synchronized historical content to confirm that sync rule configurations are correct.
- Search for the keyword "unit area cost of a certain building engineering project". Verify if the returned result fields include building engineering-specific parameters such as building area and cost unit to confirm that the vector database index configuration adapts to professional terminology.
- Check the vector database connection status in the system monitoring panel. Confirm that
milvusmatches the configured database type, with no connection timeout or dependency conflict errors.
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.