What data for this category looks like
Water treatment investment research data sources include publicly available water quality monitoring bulletins from ecological environment departments, water treatment process patent documents, industry standard specifications, and internal enterprise online monitoring logs. Update cycles cover real-time (online monitoring data), quarterly (industry analysis reports), and annual (standard specification updates). Document structures include structured process parameter tables, water quality indicator fields with clear units, fragments of equipment operation and maintenance records, and compliance clause texts. Some documents include scanned process drawings or long-form technical descriptions.
What constraints these characteristics impose on model access and configuration
The multi-update cycle of water treatment investment research data requires configuration that supports multi-source synchronization trigger rules. This adapts to incremental pulling of real-time online monitoring data and full updates of industry reports. Structured parameters and fields with clear units require the model access link to support field mapping and unit verification for structured data. This avoids identification confusion. Long-text patents and process documents require adjusting segmentation and recall parameter thresholds. This prevents loss of process logic due to context truncation. Differences in format across data sources require configuration that supports custom parsing rules. This adapts to multiple document structures such as tables and log fragments. Additionally, documents with attached scanned copies require configuration of OCR-related adaptation parameters. This ensures complete text extraction.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the combined length of long-form process descriptions and structured parameters in water treatment documents, avoiding truncation of critical units and parameter associations |
similarityThreshold | 0.72–0.85 | Adapts to semantic similarity matching of water treatment water quality indicators, distinguishing subtle differences between similar process parameters |
RECALL_TOP_N | Top 8–12 entries | Covers the multi-dimensional data required for water treatment investment research, including process, water quality, and compliance information |
UPLOAD_FILE_MAX_SIZE | 1500 MB | Accommodates single-file requirements including scanned process drawings and long patent texts |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents parsing timeouts when processing large structured tables and long-form documents |
ENABLE_STRUCTURE_EXTRACT | Enabled | Adapts to structured process parameter tables in water treatment documents, automatically extracting fields and their corresponding units |
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 case-by-case analysis. It is recommended to test against your own samples before finalizing values.
Three common configuration errors
- A 500 error occurs when importing water treatment documents. The cause is failure to adjust the
UPLOAD_FILE_MAX_SIZEconfiguration, with single-file volume exceeding the platform's default limit. - An error with the content
{"object":"error","message":"Only allowed nowis returned when calling a locally deployed BGE model. The cause is that for FastGPT version 4.8.10, the local model's API address was not correctly configured in the model access settings, or access permissions for the local model were not enabled. - Unprocessed
<think>tag content appears in returned investment research results. The cause is failure to enable tag filtering rules for DeepSeek-like models in the model access configuration, causing model output thinking fragments to be directly recalled.
How to confirm the configuration is complete
- Upload a single water treatment document within the configured size limit. Check that the parsing status shows success with no error logs.
- Call a locally deployed BGE model for text similarity testing. Verify that returned results include correct field and unit matches.
- Initiate a query related to water treatment investment research. Check that the number of recalled results falls within the configured
RECALL_TOP_Nrange with no abnormal truncation. - Import a document containing a structured parameter table. Check that parsed data automatically extracts process parameters and their corresponding units.
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.