What This Category of Data Looks Like
Data for railway operations declaration materials and file review mainly originates from passenger and freight declaration systems, train dispatch archives, safety inspection ledgers, ticket settlement records, and other business systems. Two update rhythms apply: daily operation declaration materials are generated in real time, while closed files are archived monthly. Document structure includes structured fields and unstructured text. Structured fields include job number, train number, approver, review time limit, and other items. Unstructured text includes declaration descriptions, rectification reports, review opinions, and other content. Field formats follow fixed rules: train numbers use a G/D/C prefix plus digits, timestamps use the YYYY-MM-DD HH:MM:SS format, and file numbers use fixed-segment coding.
What Constraints Do These Characteristics Impose on the "Source Citation and Traceability" Link
Railway operation data has a high proportion of structured fields. Precise matching of field information is required during traceability to avoid incorrect cross-train or cross-file associations. Real-time updated declaration materials require the knowledge base to support incremental synchronization. Archived files must retain version records to ensure original data from the corresponding time point can be retrieved during traceability. The text length of individual declaration materials and files varies widely. Long text may exceed default citation limits, requiring configuration adjustments to preserve content integrity. Multi-level review processes generate multiple rounds of associated data. During traceability, documents must be linked according to process nodes to avoid confusion between materials from different stages.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Setting | Rationale |
|---|---|---|
| Maximum Citation Token Count | 800–1200 characters | Adapts to the common text length of railway declaration materials and files, avoids truncating key review basis |
| Return Source Data | Enabled | Meets the core requirement of directly citing original materials during file review, ensures traceability information is verifiable |
| Detail Display Level | Full Fields | Displays structured business fields, facilitates verification of key information such as train number and time |
| Single Recall Limit | Top 6 Entries | Matches the number of associated documents for railway business, avoids information overload that reduces review efficiency |
| Context Window | Calibrated via Actual Testing | Adapts to the conversation scenario of multi-level review question trees, avoids exceptions caused by context overflow |
| Source Data Version Control | Enable Archived Versions | Aligns with historical version management requirements for railway files, ensures traceability can be traced back to the corresponding closed review node |
Three Common Mistakes
- Phenomenon: The question-and-answer interface displays that source data is cited, but the returned content does not include the original file or declaration form text. Cause: The return source data configuration is not enabled, or
quoteMaxTokenis set too small, truncating the source data content. - Phenomenon: When multi-level progressive review queries are initiated, the conversation process stalls with no response. Cause: The single recall limit is not set, or
quoteMaxTokenuses an excessively large value, leading to excessive system resource occupancy and timeout. - Phenomenon: The content returned by review queries does not match the original question-and-answer pair text stored in the knowledge base, with additional rewriting present. Cause: The automatic question optimization switch is not disabled, or
detailis not set to return only source data, leading the model to process the original text.
How to Verify the Configuration Is Correct
- A properly formatted railway passenger and freight declaration form is uploaded, a review query is initiated, and the returned result is checked for complete source document fields and text content.
- Multi-level progressive review questions are initiated, and the conversation process is confirmed to proceed normally without timeouts or unresponsive states.
- System logs are reviewed, and each query is confirmed to correctly recall source data for the corresponding train number or file, with no missing or duplicate recalls.
- Standard question-and-answer pairs stored in the knowledge base are tested, and the returned content is confirmed to exactly match the original text, with no additional semantic processing or rewriting.
The values provided here 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.