Citation Source and Traceability for Railway and Highway Research Reports

Railway and highway research report data sources include Ministry of Transport official operation announcements, China State Railway Group monthly

What the Data for This Category Looks Like

Railway and highway research report data sources include Ministry of Transport official operation announcements, China State Railway Group monthly operation reports, highway construction project approval documents, and third-party transportation consulting firm special research reports. Update cycles vary significantly: official announcements are updated in real time, monthly operation reports are released each month, and special research reports are updated quarterly or semi-annually. Document structures typically include project overview, passenger and freight volume statistics, infrastructure progress, policy interpretation, and risk analysis. Fields include railway operating mileage, highway freight turnover, project approval number, operating unit, and more. Units use industry standard metrics such as kilometers, ten thousand tons, and ten thousand people.

What Constraints Do These Characteristics Impose on Citation Source and Traceability

Multi-source heterogeneous data sources mean traceability must support different identification systems for official announcements, enterprise reports, and third-party research reports. Corresponding metadata fields must be matched separately. Differentiated update cycles require the traceability system to set different recall timeframes based on data source type. This avoids missing the latest official data or outdated special reports. Structured field systems require traceability to not rely solely on document titles. Traceability must accurately target specific data fields and values, otherwise industry compliance traceability requirements cannot be met. Unique identification fields such as project approval numbers provide an anchor for accurate traceability. These fields must be extracted via configuration to enable effective matching.

How to Set Configurations

Configuration ItemRecommended ValueRationale
recall_top_kTop 8-12 resultsRailway and highway research report data covers passenger and freight, infrastructure, policy and other categories. Too many recall results introduce irrelevant content, while too few miss core operation data
PARSE_FILE_TIMEOUT_SECONDS120 secondsSingle special research report files often exceed 10MB, leading to long parsing times. A timeout will cause file parsing to fail
source_reference_template`{doc_title}{publish_time}Field: {fieldname}: {fieldvalue}`Railway and highway research reports include standardized data fields. Specific traceability fields must be clearly marked to meet industry compliance requirements
chunk_size800-1200 charactersStructured data paragraphs in research reports are long. Too short a chunk size breaks data connections, while too long a chunk size increases recall noise
similarity_threshold0.75-0.85Railway and highway industry terminology is highly professional. A threshold that is too low introduces irrelevant research reports, while a threshold that is too high misses segmented data within the same field
enable_metadata_extractionEnabledUnique identification fields such as project numbers and approval numbers must be extracted to enable accurate traceability

The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: Traceability links pointing to Notion documents fail to load normally, returning a 403 error. Cause: The allowed external data source whitelist is not configured, and Notion private links are not included in the accessible range.
  • Phenomenon: After entering a Chinese question, railway research report content containing English intermodal data cannot be recalled. Cause: Multilingual vector recall configuration is not enabled, and only the Chinese model is used for similarity matching.
  • Phenomenon: Parsed research report traceability only displays the document title, without marking specific data fields and values. Cause: The enable_metadata_extraction configuration is not enabled, and structured data fields in the research report are not extracted.

How to Confirm Configuration Is Complete

  • Upload a standard railway and highway special research report, and check if the parsed metadata fields include unique identifiers such as project numbers and approval numbers.
  • Initiate a question containing specific data fields, and verify that the recall results simultaneously display the data source name, release time and corresponding field values.
  • Test uploading a Notion-format research report link, and confirm that the parsed traceability link can jump normally.
  • Switch between Chinese and English questions, and confirm that research report data in both languages can be normally recalled.

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.