What this category of data looks like
Coal chemical investment research data covers multiple types of sources, including monthly industry operation reports released by the China Coal Industry Association, coking coal and thermal coal futures market data from the Zhengzhou Commodity Exchange, annual and quarterly financial reports of listed coal enterprises, production capacity and inventory data from third-party supply chain monitoring platforms, and project environmental impact assessment (EIA) approval documents, among others. Update rhythms vary significantly across data types: futures market data is updated in real time, industry reports are released monthly or quarterly, financial reports are updated annually or semi-annually, and EIA documents are released irregularly at the project level. Document structures include structured tables (such as price, production capacity, and inventory data), unstructured research report text, and scanned PDF files. Fields and units include coal type, origin, price (yuan/ton), production capacity (10,000 tons/year), inventory (10,000 tons), and some documents contain metadata such as project document numbers and publishing entities.
What constraints do these characteristics impose on the "citation source and traceability" link
Multi-source and multi-format data requires the traceability link to support multiple document types such as PDFs, tables, and scanned files, and retain metadata such as original publishing entity and publish time to avoid missing traceability information. Differences in update rhythms between real-time market data and periodic reports require the traceability link to distinguish timeliness requirements for different data sources, and increase verification frequency for high-frequency data to avoid citing expired information. Differences in fields and units in structured tables require the traceability link to retain unit information from original documents, preventing unit confusion in subsequent analysis. OCR parsing results of scanned PDF files need to be linked to the traceability URL of the original scanned document to ensure traceability to the original file.
How to configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
RETURN_SOURCE_DETAIL | Enabled | Coal chemical data includes multi-format documents, requiring display of original source file name, publishing entity, publish time and other information |
SIMILARITY_THRESHOLD | 0.72–0.80 | Coal chemical research reports have highly professional content and dense terminology. A threshold that is too low will introduce irrelevant content, while a threshold that is too high will miss valid related documents |
RECALL_TOP_K | Top 8–12 entries | Coal chemical investment research needs to cover multi-dimensional data across the industrial chain. Too many recalls will increase traceability costs, while too few will lead to incomplete coverage |
SOURCE_VERIFY_INTERVAL | 24 hours | Some real-time market data has a high update frequency, requiring regular verification of source link validity to avoid expired links that cannot be traced |
UPLOAD_ALLOWED_EXTENSIONS | [".pdf", ".docx", ".xlsx", ".csv"] | Common coal chemical data sources include industry report PDFs, listed company financial report docx files, and price table xlsx/csv files, so restrict allowed upload file formats |
METADATA_REQUIRED_FIELDS | ["title", "publish_time", "author", "source_url"] | Coal chemical data requires clear core metadata for traceability, ensuring each source can be traced to specific publishing information |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: After entering a Chinese query, English coal chemical literature in the knowledge base cannot be retrieved and traced. Cause: Multilingual semantic matching rules are not configured, or the
SIMILARITY_THRESHOLDis set too high, causing the semantic matching score of English literature to fail to meet the threshold requirement. - Phenomenon: After uploading a Notion link, valid document content is not displayed in the traceability results. Cause:
SOURCE_LINK_VALIDATEis not configured to support third-party collaboration platform links, or the system is not granted permission to access the corresponding Notion page. - Phenomenon: Field information displayed in recall results lacks unit details. Cause: The
PARSE_EXTRACT_METADATAconfiguration is not enabled, or the unit field is not included inMETADATA_REQUIRED_FIELDS, causing original document unit information to not be retained during parsing.
How to confirm successful configuration
- Upload a coal chemical industry research report PDF, check the details page of recall results to confirm whether metadata such as file name, publishing entity, and publish time is displayed.
- Enter a Chinese query containing coal chemical professional terminology, check whether the recall results include relevant documents, and each result can jump to the original source link.
- Upload a coal chemical data document in Notion format, confirm that the system can parse normally and associate traceability links, and the details page displays corresponding metadata.
- Check the
SOURCE_VERIFY_INTERVALparameter in the configuration backend, confirm that the verification frequency matches the update rhythm of the data source.
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.