What this category’s data looks like
Air governance research reports serve as reference materials for financial, insurance, and wealth management institutions conducting ESG investment and project risk control. Sources include publicly available monitoring data from ecological environment authorities, special survey documents from industry associations, air pollution prevention and control research results from research institutes, and customized research reports from third-party environmental consulting agencies.
Update cycles vary significantly by topic. Regular monthly monitoring reports are updated monthly. Industry quarterly analysis reports are released quarterly. Research reports related to sudden air pollution events are updated on demand.
Document structures include monitoring site latitude and longitude, pollutant concentration data (unit: μg/m³), regional emission source lists, governance technology parameters, and cost calculation fields. The page count of single documents varies widely. Content mixes structured data and unstructured analysis text.
What constraints these characteristics impose on model access and configuration
Air governance research reports contain both structured monitoring data and unstructured analysis text. This requires model access configuration to support field mapping and parsing for multiple data types.
Pollutant concentration data uses μg/m³ as a fixed unit. Unit verification rules must be configured to avoid parsing deviations.
Research report update cycles vary significantly. Incremental sync trigger logic must be configured to adapt to different update frequencies.
The page count of single documents varies widely. Context window and segment length parameters must be adjusted to fit model token limits.
Emergency research reports have high timeliness requirements. Recall priority rules must be configured to ensure core content is retrieved first.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single air governance research reports can be hundreds of pages long. This setting reserves sufficient space for upload and parsing |
maxContext | 8000–12000 characters | Research reports contain structured monitoring data and multiple segments of unstructured analysis text. This setting adapts to context carrying for multiple types of content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Text extraction and field parsing for large research reports require long processing cycles. This setting prevents parsing timeout interruptions |
similarity threshold | 0.75–0.85 | The air governance field has dense professional terminology. This setting balances retrieval accuracy and effective recall range |
segment length | 800–1000 characters | This adapts to the token limit for single-segment content, avoiding loss of contextual association for professional terms after segmentation |
incremental sync trigger rule | Automatically trigger based on file update time | This adapts to the different update cycles of research reports (monthly, quarterly, or on-demand), ensuring data timeliness |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Issue: When uploading an air governance research report PDF larger than 3 MB, a parsing failure error is returned. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted. The default configuration threshold is lower than the uploaded file size. - Issue: After enabling simple mode to upload a research report, the model does not automatically trigger file reading and only returns generic responses. Cause: The
similarity thresholdwas not configured, or the threshold was set too high. The model cannot identify professional keywords in the research report to trigger the reading logic. - Issue: When using a vision-language model to parse research reports containing bar charts or line charts, the pollutant concentration data in the charts cannot be identified. Cause: The
VL_MODEL_ENABLEconfiguration item was not enabled, or the API key for the corresponding vision-language model was not bound.
How to confirm configuration is complete
- Upload an air governance research report of the maximum expected single-document size. Check the upload progress and parsing status to confirm no file size limit exceeded errors are triggered.
- Enter professional keywords from the air governance field to retrieve matching research report content. Verify that the relevance of recall results meets the preset threshold requirements.
- Upload a research report containing visual charts. Check whether the model output includes numerical analysis results from the charts to confirm that the vision-language model configuration is effective.
- Modify the file update time of the target research report to trigger the incremental sync process. Check whether the research report content in the knowledge base is automatically updated.
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.