What the data for this category looks like
The data for auto parts research reports comes primarily from publicly available reports issued by securities firm industry research institutes, industry associations, and automaker supply chain disclosure documents. Update cycles include quarterly regular production capacity reports, semi-annual gross margin analysis, annual industry trend research reports, and temporary analysis documents released after sudden policy or supply chain changes. Document structures include standardized tables of contents, core parameter tables, text analysis chapters, and appendix supplier lists. Core fields include part numbers, material types, rated torque, delivery lead times, per-unit matching usage, and similar items. Units involve professional measurement standards such as newton-meters, pieces, yuan, days, and other industry-specific units.
What constraints do these characteristics impose on the document parsing and chunking workflow?
Auto parts research reports have a high proportion of structured tables, and fields within the tables have strong correlations. Loss of table structure during parsing will prevent matching part parameters to their corresponding values. Combinations of professional fields and units must be fully retained. The same part’s parameters must not be split into separate chunks during chunking. Some research reports exist in scanned document format, requiring additional OCR processing. Large annual research reports have a high page count and longer parsing times, so longer processing time limits must be accommodated. Content boundaries between different chapters are clear, so chunking should align with chapter divisions to avoid splicing content across chapters.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MODE | preserve_structure | Auto parts research reports contain a large number of part parameter tables. Preserving table structure prevents loss of correspondence between fields and values |
CHUNK_SIZE | 800–1200 characters | Adapts to the content density of single groups of part parameters or single-chapter analysis in research reports, avoids splitting complete professional parameter combinations |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Accommodates the parsing time of large annual research reports, prevents parsing failure due to timeout |
ENABLE_OCR_PARSE | Enable based on document format | For scanned paper research reports, enabling OCR recognizes parameter text within images |
MAX_CHUNK_OVERLAP | 100–150 characters | Retains contextual association between adjacent chunks, avoids breaks in cross-chunk part parameter analysis |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports batch upload of multiple large research report files, accommodates the single-file size of industry research reports |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- A 504 status code request error is returned after uploading a PDF research report. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter, which does not accommodate the parsing time of large research reports. - Table content is missing or rows and columns are misaligned after parsing. The cause is failure to set
PARSE_TABLE_MODEtopreserve_structure, directly converting tables to plain text which separates fields from their corresponding values. - Multiple parameters of the same part are split into different chunks in the final chunking result. The cause is an overly small
CHUNK_SIZEsetting that does not meet the requirement for complete display of professional parameter content.
How to verify correct configuration
- Upload a test PDF containing standard part parameter tables, check if the parsed text retains the table’s row and column structure to confirm the
PARSE_TABLE_MODEconfiguration is active. - Upload an annual research report with more than 100 pages, check the completion status of the parsing task to confirm the
PARSE_FILE_TIMEOUT_SECONDSparameter setting meets processing requirements. - Randomly sample parsed chunk content, check if each chunk contains complete single groups of part parameters or single-chapter analysis to confirm the
CHUNK_SIZEandMAX_CHUNK_OVERLAPconfigurations adapt to content density. - Check the switch status of
ENABLE_OCR_PARSEin the configuration panel to confirm it matches the format type of the currently uploaded documents.
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.