What the data for this use case looks like
Data sources for environmental monitoring research reports include publicly available national and provincial control monitoring station data from ecological environment departments, special reports from third-party compliant monitoring institutions, and regional monitoring compilations released by industry associations. Update frequency varies by monitoring scenario. Real-time spot data updates hourly. Regional summary reports are released monthly or quarterly. Document structure includes monitoring site number, latitude and longitude coordinates, monitoring period, pollutant name, concentration value, and compliance judgment standard. Most field units are micrograms per cubic meter or milligrams per cubic meter. Some reports include cross-period average statistics and trend analysis.
Constraints for multi-turn dialogue and prompting
The hourly update frequency of real-time spot data requires clear specification of monitoring periods in multi-turn dialogue. Without this, the model may retrieve outdated historical data. Documents contain multiple pollutant names, site identifiers, and latitude and longitude information. Prompting must guide users to supply specific monitoring dimensions and regions. This prevents retrieval of unrelated non-monitoring content. Documents include continuous monitoring sequences. Multi-turn dialogue must retain historical site information. This stops the model from losing context connections in follow-up questions. Strict uniform unit requirements apply across different reports. Prompting must explicitly require the model to label corresponding units. This avoids responses with mixed-up units.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 1500-2500 characters | Environmental monitoring research reports have long individual content. Multi-turn dialogue must retain sufficient historical questions and retrieval results to avoid context loss |
Recall count | Top 6-10 results | Environmental monitoring data has many indicator dimensions. Too many retrieved results cause model processing redundancy. Too few fail to cover the user's required monitoring scope |
Similarity threshold | 0.75-0.85 | Keywords in monitoring research reports have high distinctiveness. Too low a threshold introduces unrelated documents. Too high a threshold filters out valid matching content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large regional monitoring compilation documents require long parsing times. This avoids parsing failure due to timeout |
Chunk size | 800-1200 characters | Paragraphs in environmental monitoring research reports often contain continuous monitoring data sequences. Too long chunks break data logical connections. Too short chunks split critical information |
system_prompt | Only answer based on uploaded environmental monitoring research report content. Clearly label monitoring sites, pollutant names, concentration units, and corresponding times | Guide the model to strictly match the exclusive fields of environmental monitoring data, avoid generalized or off-scenario responses |
The parameter values provided on this page are common starting points for configuration. 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.
Three Common Mistakes
- Issue: The global variable options in the prompt configuration area only display two items in version 4.9.10. Cause: Custom variables are not added in the global variable management page, or the knowledge base association permission for the application is not enabled. This causes the configuration interface to only show default built-in variables.
- Issue: A "Cannot read properties of null (reading 'q')" error is returned during dialogue. Cause: The multi-turn dialogue context cache is accidentally cleared, or the current user's question field is not passed correctly. This prevents the model from obtaining critical retrieval keywords.
- Issue: Environmental monitoring research reports from different time periods cannot be called separately in the same scenario. Cause: Classification tags for multi-file upload are not configured, or the current calling file source is not specified in the prompt. This prevents the model from distinguishing monitoring data from different time periods.
How to Verify Proper Configuration
- Enter the application's configuration interface. Confirm that
system_promptincludes prompt requirements for environmental monitoring exclusive fields. Check that the settings forRecall countandSimilarity thresholdalign with current scenario requirements. - Upload a test environmental monitoring research report. Submit a question that includes specific sites and pollutants. Verify that the returned results contain accurate information for the corresponding fields.
- Submit two progressive questions. For example, first ask about the PM2.5 concentration at a specific site, then ask about the PM10 concentration at the same site. Confirm that context is retained correctly, and the model associates the site information from the previous question.
- View the application's running logs. Confirm that the
PARSE_FILE_TIMEOUT_SECONDSsetting does not cause parsing timeouts, and that the uploaded file size does not exceed theUPLOAD_FILE_MAX_SIZElimit.
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.