What the Data for This Category Looks Like
Auto parts investment research data sources include original equipment manufacturer (OEM) public financial reports, parts supplier announcements, industry association public reports, and third-party testing institution test documents. Update rhythms vary significantly across data source types: OEM financial reports update quarterly and annually, supplier announcements are released irregularly alongside supply adjustments, and industry reports mostly update monthly or quarterly. Document formats include PDF supporting relationship tables, Excel parameter lists, and structured test reports. Fields include part number, compatible vehicle models, material composition, production batch, unit price, and delivery lead time. Units include millimeters, kilograms, yuan per piece, days, and other detailed measurement standards.
What Constraints These Characteristics Impose on the Citation Source and Traceability Link
Dispersed data sources and inconsistent update rhythms require precise association with specific publishing entities and timestamps during traceability, to avoid confusion of supply data from different cycles. Mixed structured and unstructured content in document forms requires distinguishing sources of parameter fields and text descriptions, to ensure accurate field matching for retrieval results. The presence of detailed measurement units requires retaining unit associations during traceability, to prevent investment research errors caused by disconnection between parameters and units. Cross-verification needs for multi-source data also require that the traceability chain can be traced back to the public path or internal storage location of the original document.
How to Configure the Settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
Recall count | Top 8-12 entries | Auto parts documents have high information density per piece. Too many retrieved entries will increase context redundancy, while too few will fail to cover key investment research information such as supporting relationships and cost structure |
Similarity threshold | 0.72-0.85 | High precision is required for parts parameter matching. A threshold that is too low will introduce irrelevant general automotive data, while a threshold that is too high will miss matching results for detailed model variants |
Rerank result count | Top 3-5 entries | Prioritize returning the most matching core parameter documents, to avoid dispersed user retrieval results affecting investment research efficiency |
Citation Traceability Link Binding | Enabled | Association with public links or internal storage paths of original documents is required to meet data source verification and traceability needs in investment research scenarios |
Document Metadata Sync | Automatically sync update time and publishing organization | Facilitate confirmation of data timeliness during traceability, matching the update rhythms of parts supply cycles and financial report cycles |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Avoid parsing timeouts causing document import failure when processing large structured Excel or multi-page PDF financial reports |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Unexpected number of retrieval results: only 2 entries or more than 15 entries are returned. The cause is failure to adjust the
Recall countconfiguration based on the information density of auto parts documents, and using default values intended for general documents instead. - Cited content only displays text fragments, without original document source identifiers and update time. The cause is failure to enable the
Citation Traceability Link BindingandDocument Metadata Syncconfigurations, and failure to associate paths and meta information of the original data source. - Extracted parts parameters lack unit information, or fields do not match actual documents. The cause is that for systems version 4.8.10 and above, the
引用来源保留字段configuration is not set to bind structured field extraction rules, making it impossible to extract detailed fields such as units from knowledge base citations.
How to Confirm Proper Configuration
- Initiate a retrieval for a specific auto parts model, check whether the returned results include links and update timestamps of the original documents.
- Enter the configuration page of the corresponding knowledge base, confirm that the value of
Recall countis within the range of 8-12 entries. - Upload a structured Excel document of auto parts, check whether the association relationship between fields such as part number, unit price and unit is retained after parsing.
- Test the rearrangement order of retrieval results, confirm that the most matching core parameter document ranks in the top 3 of the returned results.
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.