What this type of data looks like
Vehicle investment research data comes from automakers’ public annual and quarterly financial reports, Ministry of Industry and Information Technology motor vehicle announcements, vehicle model technical white papers, third-party testing agency evaluation reports, industry association statistical documents, and supply chain company disclosure filings. Update frequency shifts with vehicle model iterations and financial report release cycles. Update rates rise during new model launches or financial reporting periods.
Document structures include long-form technical descriptions, multi-row and multi-column parameter tables, sales analysis pages with embedded charts, and scanned offline test reports. Most fields hold precise physical quantities such as curb weight, driving range, and maximum power, with matching units including kilograms, kilometers, and kilowatts. Some documents also include identifying fields such as vehicle model codes and production batches.
Constraints on document parsing and chunking
Mixed multi-format documents require parsers to support mainstream formats such as PDF, Word, and Excel, plus scanned document OCR recognition. Long-text and table-dense document structures require chunking to retain contextual links between chapters and tables. This avoids breaking the binding between parameters and their corresponding units.
Precise physical quantity fields require parsing processes to retain the link between values and units. This prevents values and units from becoming separated after chunking. Frequently updated documents require parsing nodes to support incremental synchronization. This avoids re-parsing full historical files and improves processing efficiency.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_SUPPORTED_FORMATS | pdf,docx,xlsx,md,txt | Covers mainstream document formats for vehicle investment research, excludes niche formats to reduce parsing resource consumption |
MAX_CHUNK_LENGTH | 800–1200 characters | Matches the length of long technical parameter paragraphs in vehicle documents, avoids breaking the association between parameters and their corresponding units during chunking |
PARSE_TABLE_ENABLED | Enabled | Vehicle documents contain large numbers of technical parameter tables and supply chain cost tables; enabling this setting retains complete row and column structure of tables |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers scenarios with large single-file vehicle documents such as annual financial reports and large test reports |
PARSE_IMAGE_OCR_ENABLED | Enabled | Adapts to non-editable documents such as scanned automaker announcements and offline test reports, recognizes text and table content within them |
CHUNK_OVERLAP_RATE | 10–15% | Retains contextual association after long technical paragraphs are chunked, ensuring complete parameter description logic can be retrieved during recall |
The parameter values listed 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, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Scenario: The document parsing node shows "parsing successful", but no corresponding file entry appears in the knowledge base. Cause: The uploaded file’s format is not added to the
PARSE_SUPPORTED_FORMATSconfiguration list, so parsing results are not included in the knowledge base index. - Scenario: Technical parameter tables in imported Word documents are only recognized as scattered text, with no row or column structure. Cause: The
PARSE_TABLE_ENABLEDconfiguration is not enabled, andPARSE_IMAGE_OCR_ENABLEDis not activated for scanned documents. - Scenario: Chunking results do not cover supplementary explanation paragraphs at the end of the document. Cause: Chunking boundary settings do not cover the end of long paragraphs, or corresponding endnote extraction configuration is not enabled.
How to verify correct configuration
- Upload a vehicle evaluation document that includes technical parameter tables and scanned pages. Enter the parsing preview interface, and confirm that table row and column structure, and the binding between parameters and their units, are fully retained.
- Check that the uploaded file’s format appears in the
PARSE_SUPPORTED_FORMATSconfiguration list. Confirm the parsing node does not filter target format files. - Adjust the test chunk length, and verify that chunking results cover the complete description of a single set of technical parameters, with no separation between parameters and their units.
- Check the
PARSE_STATUSfield in the parsing log. Confirm all uploaded files have a status of "successful", with no format unsupported or timeout error entries.
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.