What data for this category includes
Data related to refining and chemical marketing comes from internal enterprise process parameter documents, batch quality inspection reports, monthly production and sales briefings, and regional marketing material packs. Data updates follow production batches, monthly cycles, and annual version iterations. Documents mostly contain structured tables such as quality inspection parameter tables, long-form process descriptions, and structured field documents. Core fields include product grade, density, sulfur content, flash point, applicable operating conditions, and others. Common units are g/cm³, mg/kg, ℃, and cubic meters per hour.
What constraints these characteristics impose on model integration and configuration
The high proportion of structured quality inspection documents requires configuring model rules adapted for structured table parsing. High-frequency batch-level update demands require configuring incremental synchronization trigger logic and update frequency thresholds. Diverse professional parameter units require configuring the model's unit normalization switch. The significant length of long-form process descriptions requires adjusting segment length and context window parameters. Differentiated content in regional marketing materials requires configuring tag-based recall matching rules to adapt to marketing content delivery for different scenarios.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_STRUCTURED_TABLE | Enabled | Most refining and chemical marketing data consists of structured quality inspection tables. Enabling this allows accurate extraction of core parameter fields |
maxContext | 8000–16000 characters | Adapts to the average length of long-form process descriptions, preventing truncation of critical process parameters |
RECALL_TOP_N | Top 6–8 entries | Balances the parameter density and context redundancy of refining and chemical professional content, covering core marketing information |
UPLOAD_FILE_MAX_SIZE | 500 MB | Matches the common maximum file size limit for single-batch quality inspection reports and process documents |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing time required for large structured documents, preventing mid-process interruptions |
SIMILARITY_THRESHOLD | 0.75–0.85 | Meets the matching accuracy requirements for professional terminology, preventing false recall of product data for non-corresponding grades |
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 errors
- Phenomenon: No image understanding model option appears when creating a knowledge base, with no corresponding option in the interface. Cause: The enterprise-exclusive image parsing plugin switch has not been enabled, or the local deployment version has not compiled the corresponding plugin module.
- Phenomenon: Knowledge base recall results only include local document content, and questions outside the knowledge base range directly return a refusal response. Cause: The
RECALL_ENABLE_EXTERNALparameter has not been enabled, orDEFAULT_REPLY_MODEhas been set to knowledge base recall-only mode. - Phenomenon: Parameter fields extracted from structured documents are incomplete, such as failure to correctly identify sulfur content units. Cause: Industry-specific professional terminology and unit mapping rules have not been configured, so the model cannot recognize special parameter formats in the refining and chemical field.
How to confirm configurations are correctly set
- Upload a typical refining and chemical quality inspection report, check whether the parsed structured fields are fully extracted, and verify the recognition results of fields and units.
- Initiate queries containing professional parameters, and verify that the number of recall results and similarity matching meet the preset rules.
- Test general refining and chemical process questions outside the knowledge base range, and confirm that the model can normally perform reasoning and reply.
- Trigger an incremental synchronization task, and verify that newly uploaded batch data can be correctly loaded into the knowledge base.
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.