What the data for this category looks like
Data for refinery intelligent due diligence reports originates from project feasibility study documents, production operation logs, environmental compliance archives, industry association public briefings, and customs import and export trade data. Two update cycles apply to this data. Project basic feasibility study data is updated statically, and only adjusted during project expansion or modification. Production operation and compliance data is updated daily or weekly. The document structure is fixed, with five standard modules: project overview, capacity parameters, material balance sheet, energy and material consumption indicators, and compliance verification records. Core fields include crude oil processing volume (unit: tons/year), light oil yield (calculated as output ratio), and unit energy consumption (kilograms of standard coal per ton of crude oil). Some fields require linking to regional industry benchmark values.
What constraints do these characteristics impose on deployment and upgrade
The mixed update characteristics, fixed document structure, and large single-document size of refinery due diligence data create multiple constraints for deployment and upgrade. Static basic data and dynamic production data must be stored in separate databases. During deployment, configure independent knowledge base groups to prevent incremental synchronization from overwriting core feasibility study data. The fixed field structure requires preset field mapping rules. During upgrade, verify the field matching logic of the parsing plugin to avoid field misalignment after parsing. The large single-document size requires adjusting file parsing timeout parameters and sharding thresholds during deployment to prevent parsing failures. The cross-data source benchmark value association logic must retain original configurations during upgrade to avoid disrupting already adapted compliance verification rules.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single documents for refinery due diligence reports are generally large. Extend parsing timeout to complete full text extraction |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to upload requirements for individual large refinery feasibility study reports or comprehensive operation logs |
SYNC_INCREMENTAL_INTERVAL | 3600 seconds | Balance real-time performance of production data and server resource usage, and match the daily/weekly update cycle of refinery data |
FIELD_PARSE_STRICTNESS | Lenient mode | Field naming in refinery due diligence reports has industry-specific custom variations. Lenient mode improves field parsing adaptability |
maxContext | 8000–12000 characters | Core context of refinery due diligence reports is lengthy. This range adapts to long-text recall and generation requirements |
RECALL_SIMILARITY_THRESHOLD | 0.75 | Filter low-relevance industry benchmark data, and improve recall accuracy for compliance verification workflows |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, 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 mistakes
- After upgrading to version v4.9.0, refreshing the conversation page displays a new conversation with no historical records. The cause is that the mount configuration for the original conversation storage directory was not retained during upgrade, resulting in reset of conversation data.
- A
413 Request Entity Too Largeerror is triggered when uploading refinery due diligence reports. The cause is that theUPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted. The default value cannot adapt to large feasibility study documents. - Empty or misaligned fields appear in parsed due diligence reports. The cause is that the
FIELD_PARSE_STRICTNESSlenient mode was not enabled. It cannot adapt to custom field naming rules in the refinery industry.
How to confirm proper configuration
- Upload a typical refinery due diligence report, check the parsed text integrity and field extraction results, and confirm that field mapping matches preset rules.
- Trigger an incremental synchronization task, review the synchronization log's duration and number of updated data entries, and confirm that the synchronization cycle matches the configured
SYNC_INCREMENTAL_INTERVAL. - Start a conversation test, enter queries related to the refinery industry, check the length and quantity of recalled context, and confirm that the
maxContextandRECALL_SIMILARITY_THRESHOLDconfigurations meet business requirements. - View server resource monitoring, confirm that resource usage from parsing and synchronization tasks stays within reasonable ranges for business operations.
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.