What the Data for This Category Looks Like
Documents and materials for railway operations come primarily from four data sources: train dispatch logs, passenger service records, freight operation documents, and line inspection reports. Update frequencies cover three categories: real-time dispatch orders, daily operation reports, and monthly statistical ledgers. Document structures include table documents with fixed fields and segmented long-text logs. Core fields include train number, operation time, line mileage, and cargo weight. Units include kilometers, tons, minutes, and others.
What Constraints These Characteristics Impose on Document Parsing and Chunking
If table documents with fixed fields are split using universal line breaks, a single freight operation record will be split into multiple chunks, losing the association between fields such as train number and weight. If the time periods of long-text train logs are cut randomly, the contextual coherence of dispatch instructions will be broken. If chunk boundaries cross numeric values and their corresponding units for multi-field numeric content with units, semantic breaks will occur during subsequent retrieval. Frequently updated real-time dispatch documents require chunking logic optimized for fast parsing to avoid timeouts.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Balances information density for both table fragments and long logs from railway operation documents, while maintaining contextual coherence |
chunkSplitter | By paragraph + custom separator | Adapts to table line breaks and the segmented format of operation logs, avoiding splitting the association between core fields |
customPdfParse | Enabled | Preserves the fixed layout structure of railway operation PDF documents, preventing table content from being disordered |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the large-file upload requirements for single monthly freight statistical reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the full parsing process for large, multi-page train logs, avoiding timeout interruptions |
chunkSettingMode | Manual configuration | Matches the fixed format of railway operation documents, preventing incorrect splits from automatic chunking |
Three Common Misconfigurations
- Phenomenon: After uploading freight documents in Excel format, multi-line content of a single record is merged into one chunk. Reason: The custom separator matching Excel row separation rules is not configured. The default chunking logic splits by paragraphs, and cannot recognize the boundary of single-row Excel data.
- Phenomenon: After uploading multiple train log PDFs, some documents show a parsing timeout status. Reason: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The parsing duration of large, multi-page logs exceeds the default threshold. - Phenomenon: When retrieving dispatch information for a specific train number, chunks containing complete operation records cannot be retrieved. Reason: The chunk boundary crosses core associated fields such as train number and operation time, destroying the semantic integrity of the data.
How to Confirm Proper Configuration
- Upload a single typical railway operation document, check the chunk preview interface, and confirm that single operation records are not randomly split or merged.
- Upload multiple documents in different formats, check the parsing status list, and confirm there are no timeout errors or parsing failure markers.
- After adjusting chunk-related configurations, compare the chunk results before and after, and confirm they match the structural characteristics of the business documents.
- After importing test data, retrieve core business fields, and confirm that the chunk content contains complete combinations of associated fields.
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.