What This Category’s Data Looks Like
Special steel research report data primarily comes from the China Special Steel Enterprise Association, annual and semi-annual reports of listed special steel companies, special survey documents from industry professional consulting institutions, and internal technical white papers of special steel manufacturers. Updates follow a quarterly regular schedule, with temporary supplements when major production capacity adjustments occur, new products enter mass production, or industry policies are released. A single document usually includes four core content types: alloy composition ratio, mechanical performance indicators, product specification parameters, and downstream application scenarios. Fields have clear units, such as MPa for yield strength, % for alloy element content, and mm for product diameter.
Constraints Imposed by These Characteristics on Citation Source and Traceability
The multi-source and dispersed nature of special steel research reports requires the traceability link to associate qualification identifiers of data source publishers, to avoid citing non-authoritative internal drafts. The quarterly-dominated update schedule requires traceability fields to include exact release dates down to the day and version numbers, to distinguish new and old documents on the same topic. The clear unit field requirements require matching during recall to verify unit consistency, to avoid confusing special steel parameters of different specifications. The fixed document structure supports configuring metadata extraction rules, to automatically capture fields such as publishing organization and product type for traceability display.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 | Single special steel research report has lengthy content. Excessive recall will exceed the context window, while insufficient recall will fail to cover core parameters |
Similarity Threshold | 0.75-0.85 | Special steel parameters have high expression rigor. A threshold that is too low will introduce irrelevant industry general articles, while a threshold that is too high may miss precisely matched specialized research reports |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single special steel research report may contain multiple parameter tables, leading to long parsing time. The default timeout duration is insufficient for complete parsing |
Metadata Extraction Rules | Configure according to publishing organization, release date, product type, unit field | The core traceability fields of special steel research reports are the four listed above, which can be automatically extracted via FastGPT's document parsing module |
Reranked Return Count | Top 5-6 | Retain the most relevant traceability documents while avoiding displaying excessive information that disrupts user viewing |
Citation Source Display Format | [Publishing Organization] Release Date: Document Title | Aligns with industry research report reading habits, and clearly displays core traceability information |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: No selectable values appear in the variable reference dropdown when selecting a knowledge base. Cause: Custom variables related to research report retrieval have not been configured in the application's variable management module, or the variables have not been bound to the current knowledge base retrieval node.
- Symptom: The error
Cannot redefine property: toStringis thrown in the online environment. Cause: The toString method has been repeatedly defined in a custom parsing node, or an introduced external script conflicts with FastGPT's built-in object processing logic. - Symptom: The product specification unit is not displayed in the citation source of retrieval results. Cause: Metadata extraction rules have not been configured to capture unit fields, or the unit format in special steel research reports has not been correctly matched during parsing.
How to Verify Correct Configuration
- Access the knowledge base management page, view the metadata of uploaded special steel research reports, and confirm that fields such as publishing organization and release date have been automatically extracted.
- Initiate a test retrieval, check whether the citation source display format of the recall results conforms to the preset rules, and confirm that the unit field is included in the traceability information.
- Adjust the recall count and similarity threshold, initiate multiple tests, and verify that the relevance and quantity of retrieval results meet business requirements.
- Simulate online environment operation, check the console logs for parsing timeout or variable reference errors, and confirm that there are no configuration conflicts.
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.