What the data for this category looks like
The data sources for infrastructure construction financing daily reports primarily include public infrastructure project approval announcements from local housing and construction authorities, infrastructure financing ledgers of policy banks, and monthly statistical reports from industry associations. Updates run daily, with immediate supplementary entries when major project approvals or loan adjustments occur. Documents are typically structured tables or PDF formats, with dozens of project entries per document. Fields include project ID, project name, affiliated region, total investment amount, current funded financing amount, financier type, approval progress status, and loan date. All units are uniformly ten thousand yuan, and the region field is marked at the provincial, municipal, or district/county level.
Constraints for Multi-turn Conversation and Prompt Engineering
Since data sources are scattered and depend on uploaded local daily report files, multi-turn conversations must guide users to clearly define query scopes. Prompts must specify that only uploaded infrastructure financing daily report data may be used, and external information calls are prohibited. Due to the daily update cycle, prompts must require conversations to prioritize content from the most recently uploaded files, to avoid referencing outdated data. With many fields and potential unit discrepancies, multi-turn conversations must support users in gradually refining query conditions. Prompts must also clearly define field matching rules, to avoid confusing total investment amount and funded financing amount. The large number of entries per single document requires limiting context length, to prevent model responses from deviating due to redundant information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 10 conversation turns | Single infrastructure financing daily report documents contain many project entries, and excessive context will cause the model to confuse core query conditions |
UPLOAD_FILE_MAX_SIZE | 50 MB | Single infrastructure financing daily report PDF or structured table files typically do not exceed 50 MB; exceeding this size will cause parsing failures |
RECALL_CHUNK_SIZE | 800–1200 characters | Single infrastructure project information typically ranges from 200–300 characters; chunking preserves complete project context |
SIMILARITY_THRESHOLD | 0.75–0.85 | Precise matching of core fields such as project ID and region is required, to avoid recalling irrelevant entries |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large structured daily report files require longer processing times for parsing |
maxConversationTurns | 15 conversation turns | Users typically gradually refine queries during multi-turn conversations; context redundancy increases after 15 turns |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Symptom: After uploading an infrastructure construction financing daily report file, conversations return irrelevant external data or a 400 status code (file not parsed). Cause: The prompt does not explicitly specify that only uploaded local files may be used as a data source, or file upload parameters are not configured correctly.
- Symptom: After multiple consecutive conversation turns, the model forgets previously mentioned project IDs or region information. Cause: The
maxContextormaxConversationTurnsparameters are not configured to limit context turns, leading to context overload. - Symptom: Mixed Chinese and English field names are used in prompts, causing the model to fail to correctly identify fields such as total investment amount and funded financing amount in infrastructure financing daily reports. Cause: Prompts are not unified to Chinese, or required matching field names are not clearly specified.
How to Verify Proper Configuration
- Upload a standard infrastructure construction financing daily report file, initiate the query "List the total investment amount of all projects", and confirm that returned results match the project data in the file.
- Run consecutive multi-turn queries: first specify a query region, then refine the financier type, and confirm that the model retains context information.
- Adjust the similarity threshold parameter, test the number of recalled results across different values, and confirm alignment with business requirements.
- Upload a financing daily report attachment containing images, and confirm that the model parses both image and structured file content.
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.