What the data for this category looks like
Railway and highway industry research report data sources primarily include official announcements from transportation authorities, monthly operation reports from railway groups, highway transport industry statistical yearbooks, securities firm transportation sector research reports, and professional transportation database materials. Data update cycles cover monthly operation bulletins, quarterly operation analyses, annual summary reports, temporary policy notices, new line commissioning announcements, and similar materials. Document formats include editable Word and PDF reports; some older announcements are scanned documents. Document structures typically include modules such as core operation data tables, cost composition analyses, industry policy interpretations, and project progress descriptions. Fields mostly involve freight volume, passenger turnover, line mileage, toll rates, and similar metrics, with units following standard transportation industry measurement formats, such as ten thousand tons, hundred million passenger-kilometers, kilometers, and others.
Constraints on document parsing and chunking
Differences in document formats across multiple sources introduce parsing complexity. Scanned documents require additional OCR processing, while editable documents may have nested tables, messy paragraph formatting, and other issues. High-frequency updated monthly data requires the parsing process to be timely, and chunk granularity must adapt to the data update cycle. This avoids failing to accurately match the latest operation indicators during retrieval due to overly long chunks. Specific field and unit requirements demand that the parsing process retain the binding relationship between data and units. If units and their corresponding values in a table are split during chunking, it will cause data ambiguity in retrieval results. Long documents and nested table structures require the chunking logic to balance contextual coherence, avoiding splitting cross-page content from the same operation report into different chunks. This would otherwise compromise the completeness of information for subsequent question answering.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_mode | auto + table_extract | Meets the extraction needs of the large number of structured operation tables in railway and highway research reports, and retains the association between table fields and values |
chunk_size | 800–1200 characters | Balances the chunking needs of long-form analysis text and short data entries, avoids including too much cross-page or cross-module content in a single chunk, and ensures retrieval accuracy |
chunk_overlap | 100–150 characters | Connects the logic of operation data across chunks, for example, retaining overlapping content between the header and adjacent data rows of a monthly report to avoid information breakage |
PARSE_TABLE_MAX_ROWS | 50 rows | Adapts to the row count scale of most monthly operation reports, splits oversized tables to avoid overloading a single chunk while retaining the overall table structure |
parse_timeout | 120 seconds | Meets the parsing time requirements of long annual research reports and multi-page scanned documents, and prevents parsing failures due to timeout |
enable_ocr | true | Adapts to the text extraction needs of some old scanned announcements, and ensures that content from non-editable documents can be parsed |
The parameter values provided on this page are general recommendations that 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
- Phenomenon: After uploading a railway research report, the parsing node displays a timeout, and the task status is marked as failed. Cause: The
parse_timeoutparameter was not adjusted. The default 60-second timeout threshold cannot cover the parsing time of long annual reports. - Phenomenon: Retrieval results only return partial operation data fields, with complete table content missing. Cause: The
table_extractmode was not enabled. The chunking logic directly split associated data within tables, causing fields and values to separate. - Phenomenon: Parsed table content output by the model is truncated, with complete row data unable to be displayed. Cause: The
chunk_sizesetting is too small. This splits a single table with many rows into multiple chunks, resulting in an incomplete table structure within a single chunk.
How to Verify Correct Configuration
- Upload a railway annual operation report with more than 10 pages, check the parsed chunk list, and confirm that the table structure in each chunk is complete with no cross-page split table fragments.
- Review the parsing log to confirm that there is a marker indicating
table_extractexecuted successfully, verifying that the structured table extraction function is properly enabled. - Randomly select a chunk of content, check that it includes complete unit fields, such as "ten thousand tons" or "hundred million passenger-kilometers" that are not separated from their corresponding values.
- Upload a scanned highway project commissioning announcement, confirm that the parsed text has no garbled characters, and that core project information is fully 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.