What the data for this category looks like
Rail transit equipment document and material data mainly comes from enterprise PLM systems, operation and maintenance repair databases, and quality inspection archive platforms. It covers documents such as vehicle assembly process cards, bogie maintenance procedures, and traction system parameter manuals. Document structures include fields like material code, test date, qualification judgment, and supplier number. Common units include millimeters, newton-meters, and operating hours. Full document updates are triggered when new vehicle models enter production. Daily operation and maintenance documents are synchronized quarterly. Temporary rectification notices are pushed to storage in real time.
What constraints these characteristics impose on the citation source and traceability link
Professional fields and units for rail transit equipment require precise matching of identification fields such as material code and test date during traceability, to avoid traceability deviation caused by generalized matching. Core citation bases differ across document types: process cards must link material parameters, and maintenance procedures must link operation records. Differentiated recall rules must be configured based on document type. Real-time updated rectification notices require prioritizing newly stored documents during traceability. Quarterly updated operation and maintenance documents must retain historical version traceability capabilities. Long single document content increases token consumption, so the total length of recalled documents per session must be limited.
How to configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context token count | Set quoteMaxToken to 8000–12000 tokens | Single professional rail transit equipment document is lengthy, needing coverage of sufficient traceability-related parameters and context |
| Response data format | Set responseData to retain all original document fields | All professional traceability identifiers such as material code and test date must be fully displayed |
| Detailed traceability switch | Set detail to enabled | Traceability details such as document storage time and source system must be displayed |
| Recalled document limit | Use the top 3–5 entries | Single document has high content volume; excessive recall will exceed token consumption limits |
| Field matching rule | Match precisely by material code and test date | Matching professional identifiers avoids generalized traceability deviation |
Three common errors
- Phenomenon: After calling, the traceability result is empty or displays "No relevant documents matched". Cause: Precise matching rules for professional fields such as material code and test date are not configured, and generalized matching cannot cover rail transit equipment professional identifiers.
- Phenomenon: The document content displayed in traceability does not retain the original format, with garbled characters or non-standard typesetting. Cause: The response data format or detailed traceability switch is not correctly configured, resulting in loss of original document typesetting and traceability information.
- Phenomenon: Associated business fields in traceability results are empty, and corresponding business data cannot be matched via identifiers. Cause: Associated fields such as material code are not bound synchronously during knowledge base upload, so traceability identifiers cannot be linked to the business database.
How to verify correct configuration
- Upload a rail transit equipment document containing a specific material code, initiate a query that includes the code, and verify that the traceability result is linked to the corresponding document.
- View the traceability fields in the response result, confirm that the preset professional identification fields are included.
- Check the document content displayed in traceability, confirm that the format is consistent with the originally uploaded document.
- Initiate queries covering different document types, verify that the recalled document types meet expectations.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.