Citation Sources and Traceability for Vehicle Intelligent Due Diligence Reports

Data for vehicle intelligent due diligence reports primarily comes from official product manuals of vehicle manufacturers, Ministry of Industry and

What the data for this category looks like

Data for vehicle intelligent due diligence reports primarily comes from official product manuals of vehicle manufacturers, Ministry of Industry and Information Technology (MIIT) motor vehicle product announcements, compliance reports from third-party motor vehicle testing institutions, and VIN analysis databases. Updates are triggered dynamically alongside new vehicle launches, recall announcements, or parameter adjustments, with no fixed cycle. Core vehicle model data is updated at least once per quarter. Single report documents are mostly in structured PDF or table formats, containing fixed fields including VIN code, full vehicle model name, powertrain type, range (unit: km), curb weight (unit: kg), core configuration list, and compliance certification number. Some reports also include batch production information and actual measured performance data.

Data sources for the vehicle category are scattered and involve compliance qualification documents. The traceability link must be bound to a unique identifier such as VIN code, and generic vehicle model names must not be used to avoid confusing parameters across different vehicle batches. There are many structured fields with clear units, so unit information for fields must be retained during traceability to prevent misinterpretation of parameters. Dynamically updated data sources require the traceability link to support real-time pulling of the latest announcement data, while also retaining the release time and qualification number of the original source to meet compliance traceability requirements for due diligence reports. When multiple sources of data are used in parallel, verification must be performed in descending order of source authority to ensure the compliance priority of cited data.

How to configure the settings

Configuration ItemRecommended ApproachRationale
enable_source_tracingEnabledVehicle intelligent due diligence reports must meet compliance traceability requirements, so source tracing functionality must be enabled
top_kTop 3-5 entriesVehicle data sources are authoritative and fields are clearly defined. Too many results will introduce redundant information, while too few may fail to cover core compliance parameters
similarity_threshold0.75-0.85High precision is required for vehicle parameter matching, so low-match irrelevant data must be filtered to avoid citing information from incorrect vehicle batches
source_citation_template`{{source_name}}{{publish_date}}{{vin_code}}`Vehicle reports must be bound to a unique VIN code and source release time to establish clear traceability anchors and avoid parameter confusion across different batches of the same vehicle model
max_source_age90 daysVehicle compliance data is time-sensitive. Announcements older than 90 days may have undergone recalls or parameter adjustments, so traceability data sources must be updated promptly
reference_field_whitelist["vin_code", "range_km", "curb_weight_kg", "certificate_no"]Only retain core traceability fields, filter non-essential information, and ensure cited content aligns with the core requirements of vehicle due diligence

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

Three common mistakes

  • Phenomenon: A 400 Bad Request error pops up when viewing the citation traceability module of a chat response. Cause: Required fields in source_citation_template are not configured correctly, resulting in missing unique identifier parameters such as VIN code in the traceability link.
  • Phenomenon: Redundant knowledge base search input and output log citation content appears in responses. Cause: The debug log switch is not turned off, or citation filtering rules are not configured in the workflow.
  • Phenomenon: Units of cited data are missing or displayed incorrectly. Cause: Unit fields are not bound in reference_field_whitelist, or unit parameters are not configured in the citation template.

How to confirm the configuration is complete

  • Upload a structured document of a vehicle due diligence report, initiate a test query that includes vehicle parameters, and check whether the citation traceability module below the response displays the corresponding source information.
  • Adjust the value of similarity_threshold, initiate multiple sets of tests, and confirm that the matching accuracy of the recall results meets the requirements of the current scenario.
  • Upload an older vehicle model announcement document that is more than 90 days old, test that the response does not cite this data source, and confirm that the time limit configuration is effective.
  • View the workflow configuration page, confirm that core traceability fields have been added to reference_field_whitelist to avoid citing non-essential information.

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.