What the Data for This Category Looks Like
Financial report data for the railway and highway industry comes primarily from listed companies’ annual and quarterly reports, public operation statistics released by transportation authorities, and monthly briefings from industry associations. Quarterly operation data is updated monthly. Annual financial reports are published at the end of each quarter or early in the following year. Document structures include fields such as total operating mileage, passenger and freight volume, revenue by line, and infrastructure investment details. Units include kilometers, passenger trips, ten thousand tons, and ten thousand yuan RMB. Some documents split specific business data by road section, and contain large numbers of nested tables and detail rows.
Constraints Imposed on Document Parsing and Chunking
The nested table and detail row structure of railway and highway financial reports can cause automatic parsing to split cross-line business data across separate chunks, losing contextual connections. Large annual financial report files extend parsing time, potentially exceeding default timeout limits. Standardized units and detailed classifications across multiple fields require precise identification of table boundaries and title hierarchies during parsing. Without this, fields may be merged or omitted entirely. When importing multiple financial reports in bulk, repeated standardized fields also increase redundant processing costs after chunking.
Configuration Settings
| Configuration Item | Recommended Value | Rationale | |
|---|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single railway and highway financial report files often contain multiple pages of operation details; 1000 MB covers most bulk import scenarios | |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large financial reports requires loading multi-table nested structures; 600 seconds prevents premature timeout | |
Chunk Length | 800–1200 characters | Financial reports contain nested details; this range preserves complete contextual information for lines and revenue | |
Custom Delimiters | `["\n", "###", "####", " | "]` | Splits content using common title hierarchies and table delimiters in railway and highway financial reports |
Similarity Threshold | 0.75 | Most financial report fields use standardized values; this threshold filters irrelevant duplicate chunks while retrieving precisely matched content | |
chunk_overlap | 100–150 characters | Nested line details require contextual continuity across chunks |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: A 10+ MB Word document triggers a
504 Gateway Timeouterror during parsing. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted; the default timeout duration is insufficient to load the multi-table detail structure of railway and highway financial reports. - Issue: Excel-imported financial report line details are merged into a single chunk. Cause: The
Custom Delimiterswere not configured to include|; the default splitting rules cannot identify table row boundaries. - Issue: The same financial report chunk returns inconsistent retrieval results across different knowledge bases. Cause: The
Similarity Thresholdandchunk_overlapparameters were not fixed; differences in default configurations across knowledge bases lead to varying matching logic.
How to Verify Proper Configuration
- Upload a single railway and highway financial report over 10 MB, and confirm that parsing completes within the duration set by
PARSE_FILE_TIMEOUT_SECONDS. - Import a test document containing tables, and check that parsed chunks are split by table rows or title headers, with no complete business units split across chunks.
- Import the same test document into two different knowledge bases, and confirm that the retrieved chunk lists are consistent.
- Review parsing logs to confirm there are no
field parsing failederrors, and that passenger and freight volume, revenue, and other fields from the financial report are properly extracted.
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.