What Data for This Category Looks Like
Data for this category comes primarily from air pollution control project process documents, operation records, compliance requirement documents, air pollution control marketing copy materials for industrial customers, supporting marketing content for green credit and environmental insurance launched by financial institutions, and emission monitoring parameters exported from environmental regulatory platforms.
Update schedules are adjusted based on project progress: project documents are updated immediately when new projects go live, operation data is synced daily, and marketing copy materials are updated quarterly.
Documents include two parts: a structured parameter table and long-text descriptions. Structured fields include governance equipment model, treatment air volume, operating power, and rectification period, with corresponding units: unit, m³/h, kW, day. The long-text section details governance processes, emission reduction principles, and customer adaptation plans.
What Constraints Do These Characteristics Impose on Model Access and Configuration
This category’s data characteristics create three constraints for model access and configuration:
- Mixed structured parameters and long-text document structure require chunked parsing rules to distinguish parameter tables and process description blocks, preventing parameter loss from long-text truncation.
- Multi-source data with varying update rhythms require incremental sync trigger thresholds, separating immediately updated project documents from daily-synced operation data to avoid excessive resource usage from full indexing.
- Structured fields with professional units require retaining original unit identifiers during field mapping. This ensures the model correctly recognizes measurement standards for parameters such as treatment air volume and operating power, avoiding semantic misunderstandings.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Air pollution control documents include multi-page parameter tables and long-text process descriptions, requiring sufficient parsing time to avoid mid-process interruptions |
maxContext | 8000-12000 characters | Long-text governance process descriptions need complete context for the model to understand, preventing truncation of critical information |
SIMILARITY_THRESHOLD | 0.75-0.85 | Filter low-relevance general marketing content, retaining parameter and solution information that strongly matches air pollution control scenarios |
RECALL_TOP_N | Top 6-8 entries | Cover different governance processes and parameter combinations, ensuring retrieved content meets the diversified needs of industrial customers |
SYNC_INTERVAL_MINUTES | 1440 minutes | Operation data is updated daily, syncing once per day to ensure data timeliness |
PROMPT_TEMPLATE | Add air pollution control professional terminology explanations | Adapt to the professional context of industrial customers, ensuring marketing content generated by the model complies with industry specifications |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After configuring a local m3e model, the knowledge base always displays "indexing". Cause: The model's API address and API key are not configured correctly, or the parsing timeout period is set too short, preventing the parameter table in long text from being vectorized successfully.
- Phenomenon: Unprocessed
<think></think>tags appear in model return results. Cause: The model's output format adaptation rules are not configured, and the thinking module in generated content is not filtered or converted to a recognizable format in advance. - Phenomenon: A status code of 1 is returned after calling the model, and structured parameters are not extracted correctly. Cause: The field mapping rules do not include the correct unit recognition logic, causing the model to fail to parse governance parameters with units, returning empty values or error status codes.
How to Verify Successful Configuration
- Upload a typical air pollution control project document, check that the parsed text blocks fully retain the parameter table and long text description without obvious truncation.
- Initiate a knowledge base recall test, confirm that the number of returned results matches the configured recall quantity requirement, and the content is strongly relevant to the search keyword.
- Call the configured model to generate a segment of marketing copy, verify that the output contains correct professional terminology and parameter units, with no unprocessed tags or garbled text.
- View the sync logs, confirm that operation data automatically completes incremental syncs at the set interval with no failed records.
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.