What the Data for This Category Looks Like
Infrastructure construction investment research data primarily comes from project feasibility study reports, bidding documents, construction logs, engineering quota manuals, on-site monitoring reports, and bills of quantities. Update frequencies vary significantly by data type: Bidding documents update with project approval, construction logs update daily, and industry quota manuals update quarterly or annually.
Document formats include long-text Word files (such as feasibility study reports), structured Excel files (such as bills of quantities and cost sheets), and semi-structured PDF files (such as bidding announcements). Fields include project ID, section number, measurement units (cubic meters, tons), cost units (yuan per square meter), and other unique identifiers and measurement dimensions.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The presence of long texts and large structured tables requires that the multi-turn dialogue context window adapts to the core content of a single document, to avoid loss of key section information due to truncation.
Multiple fields and unique units require prompts to clearly specify field matching rules and unit verification logic, to prevent cross-project data confusion or unit conversion errors.
Varying update frequencies across different data sources require prompts to mark the timeliness range of data sources, to ensure investment research conclusions rely on the latest valid data.
Multi-turn conversations must retain context for project identifiers such as section numbers and project names, to prevent subsequent conversations from deviating from the current investment research topic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the core chapter length of a single infrastructure construction feasibility study report or construction plan, and retains project context for multi-turn dialogue |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports upload and parsing of 100,000-word Word documents and 15,000-row Excel data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for large-volume structured tables and long-text documents |
| Number of Retrieved Entries | Top 6–8 entries | Accurately retrieves core data such as sections and costs related to the current investment research project, avoiding interference from irrelevant content |
| Similarity Threshold | 0.75–0.85 | Distinguishes cost data and construction plans for similar sections, reducing false retrieval probability |
chat_completion_timeout | 120 seconds | Adapts to response generation time after integrating multiple document contents during multi-turn dialogue |
Three Common Misconfigurations
- Phenomenon: Calling the
/api/v1/chat/completionsinterface returns a CORS block error. Cause: Cross-origin access whitelist is not configured, or the whitelist does not cover the frontend service's access address. - Phenomenon: 100,000-word Word documents or 15,000-row Excel data cannot trigger complete multi-turn dialogue. Cause: The
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters are not adjusted, exceeding default configuration limits. - Phenomenon: Obvious delay in AI dialogue output after searching the knowledge base. Cause: The number of retrieved entries is set too high, resulting in a large number of irrelevant documents being retrieved and included in context splicing.
How to Confirm Configuration is Successful
- Initiate a frontend interface test request to confirm that the
/api/v1/chat/completionsinterface has no cross-domain errors and returns expected dialogue results. - Upload a 100,000-word Word document and a 15,000-row Excel data file, confirm that parsing is completed and multi-turn dialogue processes can be triggered normally.
- Adjust the number of retrieved entries and similarity threshold, verify that the document content retrieved for each conversation matches the current investment research project.
- View conversation logs, confirm that token consumption statistics for single conversations are output normally, with no abnormal statistical deviations.
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
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.