What Data for This Category Looks Like
Auto parts research report data comes primarily from securities research institute industry reports, public data from domestic auto industry associations, original equipment manufacturer (OEM) technical white papers, and official technical documents from component manufacturers. There is no fixed update cycle. Regular reports release quarterly or semi-annually. Ad-hoc reports related to new product matching or supply chain changes update at any time. Most documents use structured formats, including core performance parameters such as tensile strength, rated torque, assembly weight, supply chain tier maps, cost breakdown details, compatible vehicle lists, and supporting test data. Most documents contain nested multi-page tables and professional charts. Fields use industry-specific terminology, with units mixing metric (MPa, mm, kg) and imperial (psi, in, lb) standards. Some reports include custom field identifiers.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
Multi-table nested structures and long document lengths in auto parts research reports increase single-file parsing time, raising requirements for parsing timeout parameters and server memory. Specialized terminology and mixed unit fields require text understanding models to adapt to domain semantics. They also require standardized processing rules to unify unit formats. Unfixed update cycles require flexible configuration of scheduled sync tasks during deployment. Upgrades must support incremental sync logic to avoid full repeated data pulls. Some documents use encrypted or scanned formats, adding compatibility constraints for the parsing process. OCR and parsing plugin versions must be updated during upgrades.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Auto parts research reports often contain multi-page nested tables and professional charts, with significantly longer parsing time than general documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | A single packaged research report may include dozens of pages of reports and attachments, requiring support for large file uploads |
maxContext | 8000–12000 characters | Dense with specialized terminology, longer context is needed to ensure accuracy of semantic understanding |
Recall Count | Top 10 results | Research reports in the same field have strong relevance, requiring precise filtering of core reference content |
Similarity Threshold | 0.75 | Filter out irrelevant search results that are semantically similar but not related to the auto parts field |
SYNC_CRON | 0 2 0 | Regular securities research reports are mostly updated on weekends, weekly midnight syncs can cover the latest content |
PARSE_TABLE_ENABLED | Enabled | Parameter tables in research reports are core retrieval data, requiring complete parsing of table content |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis. Testing on local samples is recommended before finalizing values.
Three Common Mistakes
- Phenomenon: Only 127.0.0.1 can access the page, while other devices on the local network cannot access it via a 192.168 subnet IP. Cause: The
SERVER_HOSTconfiguration is not set to 0.0.0.0, or firewall inbound rules for the deployment port are not enabled. - Phenomenon: After deploying version 4.9.0, search results include a large amount of general industry content unrelated to auto parts. Cause: The auto parts domain-specific vector training dataset is not loaded, or domain fine-tuning parameters for the model are not configured.
- Phenomenon: After upgrading to version 4.9.0, the official QR code still displays at the bottom of the page. Cause: The
PUBLIC_HIDE_FOOTERenvironment variable is not set to true, or the front-end deployment image is not rebuilt.
How to Confirm Proper Configuration
- Upload a PDF of an auto parts research report containing core parameter tables. Verify that the parsed text completely extracts performance parameters and unit information from the table, confirming the parsing link operates correctly.
- Submit a search request that includes auto parts-specific terminology. Check that the number of recalled results and similarity scores of returned results meet the configured threshold requirements, confirming the retrieval logic is active.
- Access another device on the local network, enter the public IP and corresponding port of the deployment server. Confirm the retrieval page loads normally, verifying network configuration is correct.
- Review logs for the scheduled sync task. Confirm the task automatically executes per the time cycle configured in
SYNC_CRON, with no abnormal errors.
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.