What the Data for This Category Looks Like
Coke research report data mainly comes from domestic coking industry associations, futures exchange market databases, leading commodity research teams, and professional information platforms. There are two update cycles:
- Industry supply and demand and price data are updated daily
- Special research reports are released irregularly alongside industry policy changes and shifts in downstream demand
Document structures typically include core logic overviews, coking coal raw material inventory, coke production capacity and operating scale, downstream steel mill procurement data, and price trend forecasts. Fields include:
- Spot and futures coke prices in yuan per ton
- Production capacity and inventory in ten thousand tons
- Downstream procurement volume in ten thousand tons
- Metadata such as research report publisher and publish time
Constraints During Model Access and Configuration
The two update cycles of coke research reports require configuring adaptive rules for incremental updates and batch uploads when connecting to the model, to avoid reprocessing full documents. The presence of multiple numeric fields (yuan/ton, ten thousand tons) requires enabling structured data extraction configuration to ensure accurate matching of user numeric query needs during retrieval. Dense professional terminology in document content requires configuring domain-specific vocabularies to improve semantic matching accuracy. Variations in report formats across different sources require configuring unified document parsing rules to align metadata and body structure, avoiding missing fields or content chaos during retrieval. Daily updated market data also requires configuring real-time synchronization interfaces to keep knowledge base content aligned with industry trends.
Configuration Recommendations
| Configuration Key | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Coke research reports contain multiple sets of industry data tables, which take longer to parse. 300 seconds covers the full parsing process |
Top K Recall Count | Top 10 results | Relevant content for coke research reports is usually concentrated in a small number of documents. Too many recalls introduce irrelevant information, while 10 results cover core reference content |
Similarity Threshold | 0.65–0.85 (cosine similarity model). Adjust to the corresponding non-0-1 range if using other vector models | Coke research reports have dense professional terminology. A threshold that is too low introduces irrelevant results, while a threshold that is too high misses relevant content |
maxContext | 8000–12000 characters | The body length of a single coke research report is usually 5000–8000 characters. Reserving sufficient context ensures the model can read content completely |
UPLOAD_FILE_MAX_SIZE | 20 MB | The size of a single coke research report (including attached charts) usually does not exceed 15 MB. 20 MB covers conventional upload requirements |
Incremental Update Switch | Enabled | Coke research reports include daily updated market data and irregularly released special reports. Incremental updates reduce duplicate upload costs |
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 on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Updated workflow configuration does not sync to results returned by published channels. Cause: Published channels are not bound to the latest workflow version, and still use old logic to process requests.
- Phenomenon: Similarity scores of retrieval results fall outside the usual range, and valid content cannot be filtered using filtering rules. Cause: The similarity value range of the current vector model is not adapted, and the default 0-1 range threshold is still used for filtering.
- Phenomenon: Some documents time out or fail to parse when batch uploading multiple coke research reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not increased, and reports with large data tables cannot complete parsing within the default timeout period.
How to Verify Successful Configuration
- A test coke research report can be uploaded, and the parsed structured fields checked for core numeric items such as price, production capacity, and procurement volume to confirm that the document parsing rule configuration is effective.
- A test query including specific numeric values can be sent, and the number of recalled results checked against the preset configuration to confirm that the recall parameter settings are correct.
- The similarity threshold can be adjusted, a test query sent, and the relevance of returned results confirmed to meet expectations, to verify that the filtering rules adapt to the value range of the current vector model.
- The incremental update switch can be enabled, a new research report uploaded, and the knowledge base checked to confirm only the content from this upload is added, to verify that the incremental update configuration is effective.
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.