What the data for this category looks like
Auto service intelligent due diligence report data mainly comes from motor vehicle registration service systems, maintenance archives uploaded by offline repair shops, auto insurance claims databases, and second-hand vehicle trading platforms. Update rhythms vary by source. Vehicle registration information from traffic administration departments syncs every 7 days. Repair records are uploaded in real time by shops. Auto insurance claims data updates daily.
A single due diligence report document usually includes fields such as VIN code, driving mileage, claim frequency, annual inspection status, and vehicle valuation. Driving mileage is measured in km. Vehicle valuation is measured in RMB yuan. Most documents use structured table formats or PDFs with structured annotations.
What constraints these characteristics impose on the citation sources and traceability link
The multi-source nature of auto service due diligence data requires the traceability link to bind VIN code as the unique retrieval anchor, to avoid mixing information from different vehicles. Differences in update cycles across sources require prioritizing the most recently updated repair records and claims data during recall, while filtering traffic administration registration information that has not been synced for more than 7 days.
Fields with clear units require retaining original field units during traceability display, to avoid data ambiguity. The structured document format requires extracting structured fields such as VIN code and claim frequency as traceability anchors, to improve traceability accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
dataset_recall_top_k | Top 6 entries | Auto service due diligence reports cover multi-dimensional data including maintenance, claims, registration and more. Enough entries must be recalled to cover core information and avoid missing key data. |
similarity_threshold | 0.75–0.85 | Auto service data mostly consists of structured fields. A threshold that is too low will introduce irrelevant recall results, while a threshold that is too high will make it difficult to match similar data linked to the same VIN code. |
parse_structured_field_enable | Enabled | Auto service due diligence reports contain standardized structured fields such as VIN code and driving mileage. Enabling this setting allows accurate extraction of fields as traceability anchors. |
source_display_format | Display document path + structured field name | Auto service data comes from scattered sources. Clearly displaying source documents and corresponding fields helps business personnel verify data authenticity. |
recall_timeout | 120 seconds | Some large maintenance archive documents take a long time to parse. Setting a reasonable timeout avoids mid-process failure of the recall workflow. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Using the
[{datasetId: xxx}]format when referencing configuration variables triggers variable parsing failure and returns empty traceability information. Reason: Auto service due diligence reports require binding VIN code as the retrieval anchor. The standard variable format should be a combined reference of{{datasetId}}and{{vin_code}}, and nested object formats are not used. - Phenomenon: After configuring knowledge base recall parameters, the returned response uses only generalized content instead of knowledge base original text. Reason: The
strict_modeparameter is not enabled, or recalled knowledge base entries are not bound to the response generation link, resulting in the AI not being forced to use recalled content. - Phenomenon: Due diligence reports have been uploaded to the knowledge base, but source data entries cannot be displayed during traceability. Reason: The
parse_structured_field_enableparameter is not enabled. Structured fields are not extracted by the system, so traceability anchors cannot be matched and source documents cannot be associated.
How to Confirm Configuration Is Successfully Applied
- Upload a standard auto service due diligence report, perform a retrieval, and check if the returned results include document paths and structured field names to confirm that the
source_display_formatconfiguration takes effect. - Adjust the value of
similarity_threshold, observe changes in the number of recalled entries, and verify that the parameter configuration can normally affect recall results. - Check the variable reference format, use the combination of
{{datasetId}}and{{vin_code}}for calls, and confirm there are no parsing errors. - Check system operation logs to confirm that
recall_timeoutdoes not trigger timeout errors, and verify that the recall workflow completes normally.
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.