What the Data for This Category Looks Like
Financial report data for the paint and ink industry comes from annual and quarterly reports of listed entities, as well as monthly production capacity and raw material price monitoring data released by industry associations. Most documents are formal PDF announcements, with structures that include consolidated financial statements, segmented business revenue proportions, raw material procurement cost details, and other fields. The data update cadence is as follows: quarterly reports are updated every 3 months, annual reports are updated once per year, and industry monitoring data is updated monthly. Most field units use tons and ten thousand yuan. Revenue split fields for segmented categories such as architectural coatings and industrial coatings are unique to this industry.
What Constraints These Characteristics Impose on Deployment and Upgrade
Financial report data for the paint and ink industry comes from multiple sources with inconsistent update cycles. Quarterly reports, annual reports, and industry monitoring data have different update frequencies. This requires configuring multi-source scheduled synchronization tasks during deployment to avoid data lag. Individual financial report documents are lengthy; some annual reports are very long, which places higher demands on file parsing timeout settings and memory usage. Segmented business revenue split fields are unique to this category. Custom field extraction rules must be configured during knowledge base construction to ensure subsequent analysis accurately matches segmented category data. During upgrades, pre-configured multi-source synchronization and field mapping rules must be retained to avoid interrupting regular financial report analysis workflows.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Annual financial report PDFs for paint and ink enterprises typically exceed 100 MB, requiring support for large file upload and parsing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing requires extended processing time to avoid task interruption due to timeout |
maxContext | 8000–12000 characters | Financial report documents have high content density, requiring a sufficient context window to support complete cross-analysis of financial metrics |
Recall Count | Top 10 results | Financial report data includes multi-dimensional segmented fields, requiring a sufficient number of associated fragments to be retrieved for analysis |
Similarity Threshold | 0.75–0.85 | Filter low-relevance non-industry data, retaining highly matched enterprise financial reports and industry monitoring content |
SYNC_CRON_EXPR | 0 0 2 * * * | Adapts to the daily update requirement of industry monitoring data; synchronization cycle can be adjusted based on financial report release cadence |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, 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 Errors
- Scenario: After deploying version 4.8.9 using docker-compose, a "File parsing failed" error appears when creating a new knowledge base. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default value is too small to accommodate annual financial report PDFs for paint and ink enterprises. - Scenario: After private Linux deployment, knowledge base synchronization tasks keep timing out. Cause: Insufficient CPU and memory resources were allocated. Long document parsing cannot be completed, triggering the limit set by the
PARSE_FILE_TIMEOUT_SECONDSparameter. - Scenario: After enabling the Zilliz vector database version, model output only contains Chinese content, which does not meet English prompt requirements. Cause: No HTTP proxy was configured, preventing normal synchronization of vector data for English knowledge bases. Retrieval relies only on local Chinese corpus.
How to Confirm Configurations Are Properly Applied
- Upload a PDF document matching the scale of a paint and ink enterprise's financial report, and confirm no errors occur during the upload and parsing process.
- Manually trigger a configured synchronization task, and check whether the synchronization log includes successful import records for the corresponding data source.
- Input a query statement that includes segmented business fields, and confirm that the returned results include matching industry or enterprise data fragments.
- Check the vector database connection status, and confirm that retrieval tasks can normally return associated knowledge base 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.