What the data for this category looks like
Paint and ink research report data sources primarily include industry association public reports, securities firm chemical industry research reports, listed company periodic reports, and third-party chemical consulting firm data. Update cycles vary by data source type. Securities firm reports update irregularly alongside industry events. Industry association data updates quarterly. Listed company annual reports are released twice a year.
Document structures typically include modules such as industry overview, core raw material prices, production capacity and operating rate, downstream application proportions, and policy compliance requirements. Fields include numerical content with clear units, such as raw material unit price (yuan/ton), production capacity (10,000 tons/year), VOC emission limit (mg/m³), and fineness (μm). Monthly or quarterly data comparisons in nested table format are also present.
What constraints do these characteristics impose on model integration and configuration
Mixed-unit numerical fields require the parsing module to support custom unit mapping. This avoids model output deviations caused by unit conversion errors.
Nested tables and structured fields require the document parser to enable nested table parsing configuration. This ensures complete extraction of segmented data within research reports.
The irregular update cycle of research reports requires the data source synchronization module to support manual triggering of incremental updates. It also retains scheduled synchronization options to adapt to regular data updates.
The large number of downstream application segmentation categories requires recall matching rules to adapt to scenarios such as architectural coatings and packaging inks. This avoids recalling irrelevant general chemical research reports.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_NESTED_TABLE | Enabled | Paint and ink research reports contain nested raw material price comparison tables and downstream application proportion tables, requiring complete parsing of nested structures |
MAX_CONTEXT_LENGTH | 8000–12000 characters | The core content of a single research report is usually around 8000 characters, requiring full loading to support accurate model question answering |
RECALL_TOP_K | Top 8 entries | The number of research reports for segmented categories is relatively small, requiring coverage of sufficient recent data to meet retrieval needs |
SIMILARITY_THRESHOLD | 0.72–0.78 | Requires distinguishing similar research reports for segmented scenarios such as architectural coatings and packaging inks, to avoid recalling irrelevant content |
UPLOAD_FILE_MAX_SIZE | 20 MB | Single research report PDF files usually do not exceed 15 MB, reserving a reasonable upper limit to accommodate large-size attachments |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing research reports with nested tables and multiple fields requires longer processing time, to avoid parsing failures caused by timeouts |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: When parsing Excel attachments in paint and ink research reports, the returned message is "It looks like you may have entered an incomplete command or request. Can you provide more information to help provide more suitable assistance? What kind of help do you need?". Cause: The nested table parsing configuration item is not enabled, resulting in incomplete extraction of structured raw material price data, and the model cannot recognize valid information.
- Issue: After accessing a locally deployed Qwen3 model, normal calls fail, with error messages indicating the model does not exist or a connection timeout. Cause: The locally deployed API address and port are not configured in
MODEL_PLATFORM_CONFIG, or theENABLE_LOCAL_MODELswitch is not enabled. - Issue: Calling a model via the OneAPI proxy returns a 401 unauthorized error. Cause: The correct MySQL database table is not specified in the
ONEAPI_KEY_STORAGEconfiguration item, or the query permission for the corresponding database table is not granted.
How to Confirm Configuration is Complete
- Upload a paint and ink research report file containing nested tables, check whether the parsed structured data covers core content such as raw material prices and downstream application proportions in the research report.
- Initiate a retrieval request for a segmented scenario, such as "2024 water-based coating raw material price trends", check the relevance and coverage of the returned results, and adjust related configurations to meet business requirements.
- Test the call link of the locally deployed model, confirm that there are no error messages indicating the model does not exist or a connection timeout, and verify that the local model configuration items are correct.
- View the OneAPI API key storage configuration, confirm that the associated MySQL database table exists and the permission configuration is correct, and verify that the authorization link is normal.
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.