What the Data for This Category Looks Like
Refining and chemical research report data primarily originates from professional petroleum and petrochemical industry research institutions, internal process and operation documents of refining and chemical enterprises, and monthly or quarterly monitoring reports from industry associations. Document structures include fields such as unit operation parameters, raw material processing ratios, energy consumption and emission indicators, and production capacity planning details. Most units use industrial standard measurements including tons, kilograms of standard oil, percentage, cubic meters, and similar units. Update frequency varies by report type: publicly available industry reports are updated quarterly, while internal enterprise operation documents are updated irregularly alongside process adjustments.
Constraints for Multi-turn Dialogue and Prompting
Professional parameters in refining and chemical research reports use dedicated industrial units. Multi-turn dialogue must retain unit context to prevent confusion between load and production capacity values across different units. Documents are organized by process segment; multi-turn dialogue must split queries along dimensions such as unit and energy consumption, and prompts must limit retrieval scope to corresponding sub-modules. Update frequency varies significantly; multi-turn dialogue must support dynamic specification of report time intervals to avoid using outdated data. Professional fields are highly concentrated; prompts must include pre-defined industry term mapping rules to reduce retrieval bias.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 preceding characters | Individual refining and chemical research report documents have relatively long lengths, requiring sufficient context to support multi-round follow-up questions |
similarityThreshold | 0.75–0.85 | High precision is required for matching refining industry professional terms, so low-relevance general industry content must be filtered out |
reRankTopN | Top 6–10 results | Professional parameters in refining and chemical research reports require precise matching; excessive recall results will disrupt multi-turn dialogue logic |
maxDialogHistory | Top 10–15 conversation turns | Key context such as unit numbers and time ranges must be retained during multi-turn dialogue to avoid losing core query conditions |
promptTemplate | Retrieve using the format "unit name + parameter type + time range", return precise data with attached units | Fields in refining and chemical research reports are tightly bound to units, so prompts must clearly define retrieval rules |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Most refining and chemical research reports are long documents, requiring sufficient time for segmentation and field extraction during parsing |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- After calling external plugins or nested applications, the conversation log field is empty. The
enableDialogLogconfiguration item is not enabled, and the workflow call link does not synchronize conversation context to the log storage module. - The form input node hides the dialog box when triggered in an independent workflow, but displays the dialog box when nested into other workflows. The
dialogModeconfiguration of the nested workflow is not set to adapt to the parent application's rules, inheriting the default pop-up trigger logic of the original node. - Inconsistent units appear in refining and chemical research report data returned during multi-turn dialogue, with mixed tons and kilograms of standard oil. The prompt does not clearly define unit matching rules, resulting in retrieval results that do not bind corresponding industrial units to fields.
How to Verify Correct Configuration
- Initiate a multi-turn query that includes unit name and parameter type, verify whether the returned results include professional units bound to fields.
- Trigger a workflow to call an external application, check whether the log storage module generates corresponding conversation log entries.
- Adjust the value of configuration items such as
similarityThreshold, verify whether the professional term matching accuracy of recall results meets expected standards. - Nest the form input node into other workflows, confirm whether the dialog box displays or hides according to the parent application's rules.
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.