What the data for this category looks like
Water treatment research report data comes from public reports of environmental protection industry research institutions, internal operation and maintenance documents of water utilities, industry association standard documents, and environmental impact assessment approval materials. Update cadence aligns with special report cycles. Industry standard documents update every 1 to 2 years. Project-based research reports release synchronously with project completion. Document structure includes project process parameters, water quality indicators, equipment specifications, operation and maintenance costs, and other modules. Core fields include treatment capacity (unit: m³/d), influent pollutant concentration (unit: mg/L), operating energy consumption (unit: kWh/m³), filtration rate (unit: m/h), and other items.
Constraints on knowledge base retrieval and recall
Dispersed sources cause inconsistent formatting across individual documents, requiring targeted configuration of field recognition and segmentation rules. Unfixed update cadence needs adaptation to incremental update trigger logic for non-periodic releases. Core fields have unit differences, such as some documents using ppm instead of mg/L, which disrupts semantic similarity matching. Large water plant feasibility study reports can span dozens of pages. Overly long single documents reduce the accuracy of segmented recall. Exclusive process parameters of project-based documents must be used as retrieval weight items to raise the recall priority of relevant results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Water treatment research reports mostly contain long process descriptions and parameter tables. This range can fully retain the context of a single set of process parameters and avoid semantic breaks |
recallTopK | Top 10–15 results | Professional parameters of water treatment research reports are scattered across different documents. A sufficient number of candidate results must be recalled to ensure coverage of core information |
similarityThreshold | 0.72–0.80 | Semantic similarity of water treatment professional terms needs to reach this range to filter irrelevant general environmental protection documents and retain accurately matched results |
rerankTopN | Top 3–5 results | Reranking is needed to screen out process parameters or project cases that best match user searches, avoiding interference from redundant results |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single files of large water plant feasibility study reports can reach hundreds of megabytes. This value supports complete upload of core documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long documents takes a long time. This setting prevents parsing failures due to timeout |
Three Common Mistakes
Mistake 1
Phenomenon: After uploading more than the preset number of water treatment research reports to a single knowledge base, new documents cannot be uploaded. Cause: The MAX_KNOWLEDGE_BASE_FILE_COUNT parameter is not adjusted, and the requirement for storing multiple professional research reports in a single knowledge base is not adapted.
Mistake 2
Phenomenon: Retrieval time exceeds 10 seconds, and single reply delay is obvious. Cause: The recallTopK value is too high and no reranking step is configured, resulting in a large number of candidate results participating in semantic calculations and increasing GPU load.
Mistake 3
Phenomenon: General environmental protection documents are mixed in retrieval results, and water treatment process parameters are not accurately matched. Cause: The similarityThreshold value is too low, failing to filter non-professional documents with insufficient semantic similarity.
How to Verify Correct Configuration
- Upload a single water treatment feasibility study report over 100 MB, check whether upload progress completes without parsing failure prompts.
- Search for keywords containing specific process parameters, verify that the number of recalled results matches the preset
recallTopKrange. - Review the preview content of retrieval results, confirm that segmented documents retain complete context of process parameters.
- Simulate 10 consecutive retrievals, record the duration of a single retrieval, and adjust relevant parameters to meet business delay requirements.
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
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.