What data in this category looks like
Refining and chemical investment research data sources include real-time operation logs of refining and chemical units, feed and product quality inspection reports, industry process standard documents, regional energy policy documents, and market quotation data for refined chemical products. Real-time operation data updates hourly or minute-by-minute. Quality inspection reports are produced per batch. Industry standards and policy documents are updated irregularly. Market quotation data updates daily. Documents contain structured process parameter tables, unstructured operation and maintenance logs, and market analysis reports. Fields include unit number, feed component proportion, conversion rate, energy consumption value, and product quotation. Units mostly use industry-specific measurement standards such as MPa, tons of standard coal per ton of product, volume percentage, and yuan per ton.
What constraints these characteristics impose on citation source and traceability workflows
The high-frequency real-time updates of refining and chemical investment research data require traceability links to associate data collection timestamps and production batch identifiers. This prevents cross-cycle citation errors from reducing the accuracy of investment research conclusions. The mixed document structure of structured parameter tables, unstructured logs, and market reports requires traceability systems to distinguish exclusive identification fields for different document types. Examples include parameter ID, log generation time, and report release date. Industry-specific units require traceability processes to retain original unit information. This avoids ambiguity in process parameters or market quotations caused by unit conversion. The characteristics of multi-batch quality inspection reports and daily-updated market quotation data require traceability links to bind corresponding production batches or quotation dates. This prevents confusion of information across different cycles.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
recall_count | Top 8–12 results | Refining and chemical investment research data includes structured parameters and unstructured logs. Sufficient relevant documents must be covered to match multi-dimensional information for process issues |
similarity_threshold | 0.72–0.85 | Refining process parameters and market quotations use highly specialized terminology. A higher threshold is needed to filter low-relevance general documents and avoid interference from unrelated industry reports |
reference_display_mode | With original units and batch identifiers | Measurement units, batch numbers and quotation dates are core traceability information for refining and chemical investment research data. These must be fully retained in citation displays |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large refining and chemical quality inspection reports and market analysis collections takes significant time. Extend the timeout to prevent parsing failures |
segment_length | 800–1200 characters | Refining process documents include long sections of parameter descriptions and operating procedures. Segments that are too long lose contextual connections. Segments that are too short disrupt process logic |
enable_batch_reference | Enabled | Refining and chemical quality inspection reports are mostly produced per batch. Batch reference support is required to associate multiple documents from the same batch as traceability sources |
The parameter values provided on this page are common recommendations for establishing configuration starting points. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Citation sources do not display in the official chat interface, but display correctly in the debug interface. Cause: The
reference_display_modeconfiguration item is not enabled, or the configuration value does not include document source fields. - Symptom: The text content extraction component cannot extract content from knowledge base citations. Cause: The document type of the citation source is not set to an extractable structured format, or the component is not associated with the data source configuration of the corresponding knowledge base.
- Symptom: Non-target batch refining and chemical data appears in recall results, and the citation source does not label production batches. Cause: No batch number filtering rules are configured, or the similarity threshold is set too low, causing low-relevance cross-batch documents to be recalled.
How to Confirm Proper Configuration
- Confirm that the currently used FastGPT version is 4.8.10 or higher, to support the
enable_batch_referenceconfiguration item. - Initiate a query that includes refining and chemical process parameters or batch numbers. Check that the citation list below the reply includes unit numbers, batch numbers and original measurement units.
- Call the text content extraction component, input conversation content that includes knowledge base citations. Confirm that the component can extract the path and field information of citation documents.
- Submit a large refining and chemical quality inspection report. Check that the parsing task has a status code of
200and no timeout errors. - Initiate a query for a specific production batch. Confirm that recall results only include document content from that batch.
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.