What data for this category looks like
Water treatment-related due diligence report data primarily comes from real-time online monitoring data from local environmental monitoring stations, pipeline operation and maintenance logs from water utility operators, and sampling analysis reports from third-party testing institutions. Two data update frequency types exist: online monitoring data is updated minute-by-minute, while sampling analysis reports are updated monthly or quarterly. Document structures uniformly include fields such as monitoring point number, detection parameter name, measured value, legal unit of measurement, sampling/monitoring time, report generating institution, and unique report number. Some longer documents include geographic coordinates of sampling points and on-site photo attachments.
Constraints on citation sources and traceability
The minute-by-minute real-time update feature of water treatment data requires the citation traceability link to limit the per-round retrieval time window and entry count, to avoid context overload. Monitoring point numbers and unique report numbers serve as core traceability identifiers, requiring corresponding fields to be bound as retrieval anchors in configurations. Data with different update frequencies require separate retrieval rules: online monitoring data only retrieves the latest values within a specified time range, while sampling reports are matched precisely via report numbers. The requirement for fields to include legal units of measurement means the traceability link must automatically verify parameter unit consistency, to prevent mismatches between numerical values and units during citation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 8–12 entries | Individual water treatment data parameter values are short; retrieving more entries covers all monitoring points while avoiding context overflow |
similarity threshold | 0.72–0.85 | Water treatment monitoring parameter names have high standardization; this threshold range avoids missing valid data from the same monitoring point at different times |
maxContext | 6000–8000 characters | Total character count after splicing multiple water treatment reports is large; this range reserves sufficient context space for large model inference |
citation source field matching | bind "unique report number" "monitoring point number" | These two fields are core traceability identifiers for water treatment data, enabling precise association with original detection or monitoring data |
PARSE_FILE_ENCODING | UTF-8 | Most CSV and Excel reports related to water treatment use UTF-8 encoding, which prevents garbled text after upload |
time range filtering | enabled, real-time data limited to the last 24 hours | Minute-by-minute updated real-time data has strong timeliness; historical data older than 24 hours can be retrieved via sampling report numbers |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- After uploading a CSV file of a water treatment report, the fields displayed after knowledge base parsing show garbled text, and the downloaded parsed source file has an inconsistent format compared to the original file. Cause:
PARSE_FILE_ENCODINGis not configured asUTF-8. Some CSV files from third-party testing institutions use GBK encoding, and the default parsing encoding does not match, leading to garbled text. - Setting
recall counttotop 3000 entriesresults in the large model not receiving context content, and the generated answer does not reference any knowledge base data. Cause:maxContextis not adapted to the character occupancy of a high recall count. The total character count of 3000 entries of water treatment monitoring data far exceeds the default context length, causing the context to be truncated to empty. - Citation source fields are configured, but the generated answer does not show corresponding traceability information, or the traceability link points to an incorrect location. Cause:
unique report numberormonitoring point numberare not bound as matching fields. Only using keyword retrieval cannot precisely associate original water treatment data, leading to missing or incorrect traceability information.
How to Verify Correct Configuration
- Upload a test water treatment report CSV file, confirm the parsed fields are complete and free of garbled text, and verify the encoding configuration takes effect.
- Initiate a retrieval for a specific monitoring point, check that the number of returned recall results matches the configured
recall countrange, and that the time range conforms to the set filtering rules. - Generate a water treatment due diligence-related answer, confirm the answer includes the configured traceability field information, and verify that the traceability identifiers match the original report.
- Adjust the
similarity threshold, retrieve different monitoring data for the same parameter, and check that the matching accuracy of the recall results meets expectations.
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.