What data for this category looks like
Environmental monitoring investment research data mainly comes from ecological environment monitoring stations, online continuous sensors, and on-site test reports from third-party testing institutions. Data update rhythms fall into two categories: real-time time-series data updates hourly, and annual and quarterly regional environmental quality reports are updated monthly or quarterly. Document structure includes structured monitoring fields and unstructured analysis content. Structured fields include monitoring point number, longitude and latitude, monitoring time, pollutant concentration value, quality control status. Units include μg/m³, mg/m³, decibels, and others. Unstructured content includes regional pollution trend analysis, compliance evaluation, and similar content.
What constraints these characteristics impose on knowledge base retrieval and recall
Environmental monitoring data has multi-dimensional fields and time-series attributes, which impose multiple constraints on the retrieval and recall link. First, structured data requires strict matching of fields such as monitoring points, pollutant types, and time ranges to avoid results with incorrect units or wrong monitoring points. Second, the high-frequency updates of real-time data require the knowledge base synchronization cycle to align with the data update rhythm, preventing the recall of expired monitoring data. Third, unstructured analysis documents and structured time-series data must be associated and recalled to support trend correlation analysis required for investment research. Fourth, professional terms have high density, so literal matching and semantic understanding must be balanced to avoid missing cross-term associated content.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 entries | Environmental monitoring investment research requires covering associated data from multiple monitoring points and time periods. 8-12 entries balance recall scope and result relevance |
Similarity Threshold | 0.75-0.85 | There are many professional terms in environmental monitoring. A threshold that is too low will introduce irrelevant monitoring data, while a threshold that is too high will miss relevant trend analysis content |
Segment Length | 800-1200 characters | Environmental monitoring analysis reports often contain long trend descriptions. Segments that are too long will lose context association, while segments that are too short will destroy logical integrity |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch monitoring report files have large file sizes, so sufficient time must be reserved for parsing and uploading |
Incremental Sync Cycle | 1 hour | Aligns with the update frequency of real-time time-series data to ensure the timeliness of monitoring data recalled by the knowledge base |
Reranked Return Count | Top 5 entries | Investment research scenarios prioritize displaying the most core monitoring data and analysis conclusions, reducing user screening costs |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Empty results are returned when querying environmental monitoring-related content. Cause: No field filtering rules for monitoring points and pollutant types are configured, leading to insufficient matching of recall results.
- Phenomenon: Retrieval results only match literal keywords and do not associate with time-series trend data. Cause: Combined configuration of semantic recall and field-associated retrieval is not enabled, and only literal matching logic is relied on.
- Phenomenon: Directly refuse to answer when there is no direct matching content in the knowledge base. Cause: The switch for calling the large model for context inference when the knowledge base has no matching content is not enabled, making it impossible to handle investment research questions involving cross-associated content.
How to Confirm Configuration is Complete
- Upload an environmental monitoring daily report file, and check whether core fields such as monitoring points, pollutant concentrations, and monitoring time are correctly extracted after parsing.
- Initiate a retrieval that includes specified monitoring points and pollutant names, and verify that the field units of recall results comply with industry standards.
- Simulate an investment research query with no direct matching content in the knowledge base, and confirm whether the large model is called for associated reasoning.
- Adjust the similarity threshold and initiate a retrieval, and observe whether the number of recall results changes as expected according to the adjustment logic.
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.