What the data for this category looks like
Water treatment investment research data comes from project environmental impact assessment reports, real-time water quality monitoring data, operation logs, industry process standards, and compliance rating documents. Real-time monitoring data updates every minute. Operation logs and cost data update daily or monthly. Compliance documents and industry standards update irregularly or quarterly. Three data structure types exist: Structured data includes fields such as monitoring point number, sampling time, pollutant concentration (mg/L), treatment flow rate (m³/d), and operating cost (yuan/ton of water). Semi-structured data includes due diligence reports and compliance inspection records. Unstructured data includes process design manuals and industry technical specifications.
Constraints imposed on deployment and upgrade
The high-frequency updates of real-time monitoring data require configuring real-time write nodes for the vector database during deployment. This prevents batch writes from blocking business requests. Differences in multi-source data formats and field standardization needs demand configuring dedicated field mapping rules before deployment. Retain existing mapping rules during upgrades to avoid damaging investment research data consistency. The need to parse long documents and large volumes of structured data requires adjusting upload and parsing timeout parameters. This prevents task interruptions. Data compliance requirements for financial investment research scenarios mandate configuring data desensitization rules during deployment. Hide sensitive operating cost and project information.
How to set configuration values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Adapts to the maximum file size limit for single due diligence reports and batch monitoring data files in the water treatment industry |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Meets the parsing time requirements for large process manuals and batch structured monitoring data |
maxContext | 8000–12000 characters | Retains complete context of process parameters and historical monitoring data to support investment research analysis |
Number of retrieved entries | Top 8–12 entries | Covers multi-dimensional monitoring indicators, process solutions, and compliance information required for water treatment investment research |
Similarity threshold | 0.75–0.85 | Accurately matches water quality indicators with corresponding treatment processes, avoiding invalid recalls that interfere with investment research judgments |
INCREMENTAL_SYNC_CRON | */5 * * * * (real-time data), 0 0 * * * (unstructured documents) | Differentiates synchronization frequencies for real-time monitoring data and unstructured documents to adapt to different update rhythms |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- The symptom is a
504 Gateway Timeouterror. The cause is failure to adjust thePARSE_FILE_TIMEOUT_SECONDSparameter, leading to timeout when parsing batch monitoring data. - The symptom is continuous search without response in conversations, with no valid investment research content returned. The cause is an excessively high similarity threshold, which fails to match exclusive process parameters and monitoring data for water treatment scenarios.
- The symptom is failure to connect a local model, with conversation calls failing. The cause is incorrect configuration of
ONEAPI_ENDPOINTand port mapping for the local model, and failure to open corresponding network ports during deployment.
How to confirm successful configuration
- Upload a single 2GB water treatment process manual. Verify that the parsing progress completes normally and no error logs are generated.
- Initiate a water quality indicator matching query. Check that the returned results include treatment process descriptions corresponding to the pollutant concentration.
- View incremental synchronization logs. Confirm that real-time monitoring data updates automatically on the
*/5 * * * *schedule. - Restart the service. Check that custom field mapping rules are not lost, and knowledge base retrieval functions normally.
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.