What the Data for This Category Looks Like
Data for this category originates primarily from special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. Data is updated monthly. Commonly used documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Each document contains structured fields such as unique equipment identifier, inspection validity period, operator qualification number, and user organization name. Some documents include scanned attachment files.
Constraints Imposed by These Characteristics on the "Source Citation and Traceability" Link
Data for this category is scattered across multiple independent systems. The requirement to associate equipment, qualification, maintenance, and other information across systems means the traceability link must support multi-data source association matching. The monthly update frequency requires the knowledge base synchronization cycle to align with the update rhythm, to avoid using expired data. Documents include structured fields and scanned attachments, so traceability must cover both structured field matching and attachment content verification. Additionally, errors in regulatory documents can lead to equipment shutdown, administrative penalties, and other consequences. This means the traceability link must clearly mark the source system and document type, to ensure information can be traced and verified.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the structured fields and attachment text length of special equipment documents |
| Maximum Context Recall Count | Top 6 entries | Matches the knowledge base data volume updated monthly, avoids interference from redundant information |
quoteMaxToken | 300–500 tokens | Controls the length of cited content, ensures that cited information for regulatory documents is complete and does not exceed token limits |
responseData | Enable structured field output | Facilitates association of key regulatory fields such as equipment number and inspection validity period |
detail | Enable traceability detail display | Marks source system and document type, complies with regulatory traceability requirements |
| Knowledge Base Sync Cycle | Execute monthly | Aligns with the monthly update frequency of data for this category |
Three Common Misconfiguration Scenarios
- Phenomenon: A red error prompt appears when generating regulatory documents. Cause:
responseDatais not configured to enable structured output, leading to verification failure due to inability to match the equipment number field during traceability. - Phenomenon: Only the first query in a workflow triggers knowledge base citation, with no citation results for subsequent queries. Cause:
detailis not configured to enable global traceability configuration, causing the context to not retain data source association rules. - Phenomenon: Cited inspection report content is too long, interfering with the layout of regulatory documents. Cause:
quoteMaxTokenis not set to limit citation length, causing attachment text to be inserted directly into the document.
How to Confirm Proper Configuration
- Trigger a document generation request related to periodic inspection reports, and check whether the returned result includes clear data source labels and document type descriptions.
- View system synchronization configuration to confirm that the knowledge base update cycle aligns with the monthly update rhythm of this category.
- Test multi-round continuous query scenarios, and confirm that each round of queries can associate corresponding special equipment data.
- Adjust citation-related parameters, and verify that the length of cited content in the generated document meets layout requirements.
The values provided are common starting points and should be evaluated 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.