What the Data for This Category Looks Like
Engineering consulting research report data primarily comes from public reports from industry associations, specialized research results from engineering consulting institutions, and archived materials for ongoing and completed projects. Update cycles align with project timelines or industry policy adjustments, typically occurring on a quarterly basis. Document structures include modules such as project overview, cost breakdown, technical parameters, compliance requirements, and case comparisons. Fields include project number, construction scale, unit cost, construction period requirements, compliance standard number, and other relevant fields. Units cover square meters, cubic meters, labor hours, rates, and other standard units.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Engineering consulting research reports have many structured fields, long individual document lengths, and clear update cycles. These traits create three constraints for deployment and upgrade. First, vector indexing must adapt to structured fields. Using only full-text vector recall may cause field association failures and reduce retrieval accuracy. Second, parsing time requirements for individual documents are higher. Adjust relevant parameters to reserve sufficient parsing time and avoid long document parsing interruptions. Third, quarterly incremental update needs require a deployment mode that supports quick switching between full and incremental synchronization. During upgrades, retain the configuration logic for synchronization tasks to avoid interrupting the data update pipeline.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Engineering consulting research reports have long individual document lengths and include numerous attached tables and parameters, so sufficient parsing time must be reserved |
maxContext | 800–1200 characters | Research reports include structured cost, technical parameter and other fields, so sufficient context must be retained to associate information across different modules |
Number of recall results | Top 8–10 results | Research report data has many fields and covers a wide range of modules, so a sufficient number of matching passages must be recalled to cover core retrieval needs |
Similarity threshold | 0.75–0.85 | Balance precise matching and relevant content coverage, avoid missing associated research report information across modules |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Individual engineering consulting research reports may include numerous drawings, attached tables and other attachments, so large file upload support is required |
Incremental sync trigger interval | 7 days | Align with the quarterly update rhythm of industry data, weekly incremental sync reduces server resource usage |
The parameter values provided on this page are standard recommendations for starting point configuration. Actual values are affected by material format, 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 Mistakes
- Scenario: After upgrading to version
4.8.21or later, enabling theENABLE_THINKINGswitch results in replies still containing<think></think>tags, with no thinking process displayed. Cause: Frontend static resources were not synchronized for update after upgrade, or backend configuration was not correctly linked to frontend rendering logic. - Scenario: A database connection error with status code
500occurs after selecting the corresponding version during deployment. Cause: The structured data storage requirements for engineering consulting research reports were not adapted, and the default database configuration did not enable full-text search or vector index support. - Scenario: Unable to retrieve the
userIdfield value when calling an interface. Cause: The default user ID field was changed after upgrade, and the originaltmbIdmapping logic was not synchronized to the new configuration items.
How to Verify Proper Configuration
- Upload a local test engineering consulting research report, check the parsed text structure, and confirm that structured fields are not truncated.
- Initiate a retrieval request, verify that the number of returned recall results matches the configured setting.
- Trigger an incremental sync task, check the sync log to confirm only new data was updated, and no full re-run was executed.
- Enable the thinking switch and initiate a query, confirm that no unrendered
<think>tags are present in the reply.
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.