What the Data for This Category Looks Like
Marketing content data for paint and ink comes primarily from internal product formula databases, scanned color swatch files, process specification documents, customer inquiry records, and official marketing material templates of paint and ink enterprises partnered with financial institutions. Updates follow no fixed cycle. Updates trigger when new color codes are launched, production formulas are adjusted, or compliance documents are updated. Document formats primarily include structured tables, long-text process descriptions, and high-definition color swatch images. Core fields include product ID, color parameters, viscosity value, and applicable substrates. Viscosity is measured in millipascal seconds, color difference in ΔE, and fineness in micrometers.
What Constraints Do These Characteristics Impose on Deployment and Upgrade?
The high share of structured tables requires dedicated table field recognition rules during deployment. This prevents core parameter parsing loss in marketing materials for paint and ink enterprises provided by financial institutions. The large file size of high-definition color swatch images requires adjusting the maximum file upload limit. This prevents failed large file uploads from disrupting marketing material synchronization for enterprise customers. The lack of a fixed update cycle requires retaining old field mapping rules during upgrades. This avoids format incompatibility when synchronizing new data, which could impact enterprise customer services for financial institutions. Multi-source unstructured inquiry records require adjusting the field weights of the recall model. This ensures marketing content matches precise queries from downstream distributors. The category-specific unit system requires presetting unit verification rules for fields during configuration. This prevents unit confusion in returned results, reducing customer communication costs for financial institutions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Paint and ink marketing materials include high-definition color swatch images, with large average file sizes per document |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long-text process specification documents require extended timeout thresholds due to long parsing times |
maxContext | 800–1200 characters | Adapts to the length of single product parameter information for paint and ink products, balancing context coverage and computational overhead |
Recall Count | Top 6 entries | Covers multi-dimensional marketing information including product ID, color value, viscosity, applicable substrates |
Similarity Threshold | 0.72–0.85 | Meets the precise need to distinguish similar color codes and parameters, avoiding recall of irrelevant content |
AUTO_SYNC_INTERVAL | 2:00 AM daily | Adapts to the lack of fixed update cycles, enabling scheduled synchronization of newly produced marketing materials |
The parameter values provided on this page are standard recommended 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 conduct tests on one's own samples before finalizing settings.
Three Common Mistakes
- Scenario: After starting a Docker container, the service status shows up but the 3000 port page cannot be accessed. Logs prompt a MongoDB connection failure, and manual verification of the MongoDB account password fails. Cause: The MongoDB connection string was not configured correctly during deployment, or the FastGPT container and MongoDB container were not added to the same network.
- Scenario: After configuring grok-3 in version 4.8.20, clicking test pops up an error prompt, but the model runs normally after being referenced. Cause: There are differences in parameter verification logic between the test interface and the official call interface. The test did not adapt to the additional request headers of the third-party model.
- Scenario: After uploading paint and ink product documents, core fields such as viscosity and color difference values are empty in the parsing results. Cause: Table field parsing configuration was not enabled, or the parsing rules did not match the structured table format in the document.
How to Confirm Successful Configuration
- Upload a single typical paint and ink product document, wait for parsing to complete, verify that the parsed fields include the preset core information, and confirm that the field units meet the category requirements.
- Enter the model test interface, enter a query containing color codes and viscosity parameters, verify that the number of returned recall results conforms to the configuration rules, and that the similarity is within the preset range.
- View the automatic synchronization task logs, confirm that the scheduled synchronization task triggers at the configured time, and that no connection errors occur.
- Manually trigger a large-volume file upload, verify that no upload failure prompt is triggered, and confirm that the file size limit configuration is in effect.
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.