What data for this category looks like
Infrastructure engineering investment research data primarily comes from bidding documents, construction logs, project budget estimates, industry quota standards, and on-site monitoring ledgers. Data update cadence changes with project phases. Bidding documents are updated in real time alongside bidding progress. Construction logs are synced daily. Industry quota standards are updated quarterly or annually. Single documents typically include fields such as section number, project cost details, material unit prices, schedule milestones, and compliance check clauses. Units use engineering-specific measurement standards including yuan/cubic meter, man-day, ton, and square meter. Some large project documents, when split, can have individual sections reaching thousands of characters.
What constraints do these characteristics impose on the citation source and traceability link?
The multi-source, phased update, and strong field association characteristics of infrastructure engineering investment research data create multiple constraints for the citation traceability process. Bidding documents have high timeliness requirements. When citing, release time and project section number must be marked simultaneously. Otherwise, data timeliness cannot be verified. Construction logs are linked to specific on-site nodes and team information. Traceability requires binding project ID and construction section number. Otherwise, original records cannot be located. Industry quota standards have quarterly or annual version iterations. Version numbers must be recorded to avoid citing outdated standards. For large project documents that have been split, individual sections may come from multiple original files. Traceability needs to cover page numbers or paragraph ranges of multiple files. Otherwise, complete data source restoration is not possible.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Recall Count | Top 6-8 entries | Single infrastructure engineering documents are lengthy. Too many recalls cause context redundancy, while too few fail to cover key investment research data |
Similarity Threshold | 0.72-0.85 | Engineering data has strong field correlation. A threshold that is too low introduces irrelevant section data, while a threshold that is too high misses associated content from the same project |
Segment Length | 800-1200 characters | Infrastructure engineering documents contain multi-field combined content. A segment that is too long destroys field association integrity, while a segment that is too short increases traceability matching difficulty |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large project budget estimate files have large single-file size and long parsing time. The default timeout duration is insufficient |
Citation Source Display Format | "File Name + Section Number + Release Time + Paragraph Range" | Matches the multi-dimensional traceability needs of infrastructure engineering data, and facilitates quick location of original records |
Reranked Return Count | Top 3-4 entries | Focuses on core investment research data, and avoids interference from non-critical sources on decision-making |
The parameter values provided on this page are common recommendations used to determine starting points for configurations. 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 Mistakes
- Phenomenon: Citation links are forcibly displayed in conversation response results, and cannot be hidden as needed. Cause: The configuration logic for
Citation Source Displayhas not been adjusted, and full-scenario citation display is enabled by default. - Phenomenon:
504 Gateway Timeouterror occurs when parsing project budget estimates. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter has not been adjusted to above 600 seconds, and large file parsing time exceeds the default threshold. - Phenomenon: Recalled citation sources do not match the current conversation content, with irrelevant cross-section data appearing. Cause: The
Similarity Thresholdis set too low, or a section number filtering condition is not added during recall.
How to Confirm Configurations Are Set Correctly
- Upload a real infrastructure engineering bidding document, initiate a query containing section number keywords, and check whether the complete traceability information of the corresponding file is displayed in the returned results.
- Adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter, upload a single engineering document over 500MB in size, and confirm that no timeout error occurs during the parsing process. - Initiate a query containing multiple field combinations, and check whether the citation sources of the recalled results include file name, section number, and release time simultaneously.
- Adjust the
Recall Countparameter, confirm that the number of citation sources in the returned results matches the configured value, with no excess or shortage.
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.