What the Data for This Category Looks Like
Paint and ink industry research reports originate from three main sources: industry association public reports, brokerage in-depth research reports, and quarterly operational documents from supply chain enterprises. Update frequency varies by report type: industry association annual reports are released per calendar year, while brokerage reports are updated irregularly based on events such as raw material price fluctuations and policy announcements. Document structures typically include nested tables, specialized terminology paragraphs, and data appendices. Common fields include raw material name, production capacity, unit price, and downstream application proportion. Units include yuan/ton, kilogram, liter, ten thousand tons, and others. Some overseas reports use mixed Chinese and English raw material identifiers, and field naming differs across reports. For example, some documents use "annual production capacity" while others use "production capacity" to refer to the same metric.
Constraints for Document Parsing and Chunking
The presence of nested tables causes default text parsing to lose row-column associations, making full restoration of structured data such as raw material prices and production capacity impossible. Inconsistent field naming increases the difficulty of semantic matching after chunking; forced chunking may split the context of the same indicator. Unstandardized diverse unit identifiers will lead to inconsistent matching results for the same indicator during subsequent retrieval. Frequently updated documents require adaptation to batch parsing performance limits to avoid single-file parsing timeouts or exceeding upload size thresholds. Specialized chemical terminology and mixed Chinese and English content impose higher requirements on the semantic recognition accuracy of parsing models.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MODE | Preserve semantic structure | Paint and ink industry research reports contain numerous nested tables with raw material prices, production capacity, and similar data. Preserving semantic structure prevents table content from being broken into scattered text |
CHUNK_SIZE | 800–1200 characters | Reports include long sections of industry analysis and table explanations. This range covers complete analysis context while avoiding overly long single chunks that harm recall accuracy |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some annual industry research reports include multi-chapter attachments and data appendices. This size covers conventional batch upload file requirements |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large nested tables and multi-chapter documents requires longer processing time. This duration prevents parsing failures due to timeout |
ENABLE_UNIT_NORMALIZATION | Enabled | Paint and ink industry research reports use multiple raw material units (yuan/ton, kilogram, liter). Standardization unifies retrieval and matching logic |
AUTO_PARSE_CSV_HEADER | Enabled | User-uploaded raw material inventory CSV files may have inconsistent header naming. Automatic recognition reduces subsequent field mapping costs |
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
- Symptom: After upgrading the platform version, uploading a CSV file triggers a
413 Request Entity Too Largeerror. Cause: The default upload file size threshold was adjusted in the new version, and the configuration itemUPLOAD_FILE_MAX_SIZEwas not updated synchronously. - Symptom: Using minerU parsing returns empty table content. Cause: The specialized chemical document adaptation mode for
PARSE_TABLE_MODEwas not enabled, leading to parsing failures for complex nested tables. - Symptom: Directly uploading a PDF file and passing it to a large model node returns an error that document content cannot be recognized. Cause: The system's default document parsing process was not disabled. The large model receives unprocessed binary files instead of parsable text.
How to Verify Correct Configuration
- Upload a single research report PDF containing nested tables. Check if parsed content retains complete row-column associations for tables. This can be verified by confirming chunked text includes continuous raw material unit prices and corresponding production capacity data.
- Upload multiple CSV files of raw material data with inconsistent headers. Check if parsed fields are unified. This can be verified by searching for a specific raw material name and confirming unit consistency across chunked content.
- Trigger a batch upload test. Check if any files fail parsing due to timeout or size limits. This can be verified by reviewing timeout-related errors in system logs to confirm if the value of
PARSE_FILE_TIMEOUT_SECONDSis appropriate. - Call the specialized chemical document parsing interface. Check if returned parsing results include complete specialized terminology and mixed Chinese and English content. This can be verified by comparing original documents with parsed text content.
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.