What data for this category looks like
Coal chemical industry research report data mainly comes from professional coal industry think tanks, public annual reports of listed coal chemical enterprises, third-party industry operating condition databases, and regulatory policy documents. Update cycles cover quarterly, monthly, and real-time: publicly available industry research reports are updated quarterly, enterprise operating condition data is updated with project commissioning or daily operations, and regulatory policy documents are updated synchronously with industry developments. Document structures include core process parameter tables, raw coal matching plans, product yield calculations, and plant operation cycle data. Fields include plant scale, raw material consumption, unit product energy consumption, with units mostly using industrial standard units such as ton standard coal, Nm³/h, tons/ton of raw material, etc.
What constraints do these characteristics impose on the model integration and configuration link
The multi-source and scattered sources of coal chemical research reports require configuring multi-file format adaptation rules to support content in different formats such as PDF industry reports, Excel operating condition data tables, and Word policy documents. A large number of non-standard industrial parameters exist in the documents, so field normalization processing logic must be configured to unify units and indicator calibers. Individual research reports are lengthy, with dense core parameter content on pages, so association retention rules for long text segmentation must be configured to avoid destroying logical associations between parameters after splitting. Coexisting real-time updated operating condition data and quarterly research reports require configuring incremental recall time filtering rules to distinguish static historical data from dynamic latest data.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–16000 | Coal chemical research report texts usually contain multi-page process parameters, so sufficient context must be retained to associate parameter logic |
UPLOAD_FILE_MAX_SIZE | 200 MB | Individual coal chemical research reports often include multiple attached Excel operating condition files, so large file batch uploads must be allowed |
PARSE_CHUNK_SIZE | 1000–1500 characters | Coal chemical parameters are densely arranged, so complete information of a single parameter group must be retained during segmentation to avoid logical breaks |
RECALL_TOP_N | Top 8–12 entries | Research report retrieval needs to cover multi-dimensional parameters including process, market, and policy, so too few recall entries must be avoided to prevent missing key data |
SIMILARITY_THRESHOLD | 0.75–0.85 | Coal chemical professional terms have high recognition, so low-relevance general industry content must be filtered to improve retrieval accuracy |
MODEL_TEMPERATURE | 0.1–0.3 | Research report retrieval needs to maintain answer accuracy, so subjective interpretations deviating from original data must be avoided |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: No response is returned after shared page concurrency exceeds the threshold, while local model server resources are not exhausted. Cause: The
CONCURRENT_LIMITparameter is not configured, or its value does not match the actual concurrency carrying capacity of the model server. - Symptom: A 400 error is returned when uploading research report attachments exceeding the specified size. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not adjusted, or large file preprocessing and splitting logic is not added to the workflow. - Symptom: The model cannot read the content in the uploaded document, but valid text exists within the
<FilesContent></FilesContent>tags. Cause: The text extraction switch after file parsing is not enabled, or the parsing rules do not adapt to the table format of coal chemical research reports, resulting in failed text extraction.
How to confirm configurations are correctly set
- Upload a single complete coal chemical research report, check whether the parsed text blocks retain core parameter groups, and verify whether the segmentation logic conforms to preset rules.
- Initiate multiple concurrent test requests, adjust the concurrency number to the threshold that meets business requirements, and confirm that no no-response situations occur.
- Enter coal chemical professional terms for query, and verify whether the similarity and number of recall results conform to configuration requirements.
- Upload oversized attachment files, confirm that the file upload and parsing process is normal, and no 400 errors are returned.
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.