What the data for this category looks like
Carbon steel-related data is primarily sourced from steel mill ERP systems, spot trading platforms, logistics ledgers, and quality inspection reports. It supports marketing material needs for practitioners in finance, insurance, and wealth management fields.
Data update rhythms vary: spot quotes update daily, production capacity and inventory data syncs weekly or monthly, and quality inspection reports are generated per batch.
Most documents are structured tables, with fields including steel grade, specification, yield strength, tensile strength, delivery unit price, delivery cycle, and more. Units include MPa, yuan/ton, millimeter, day, and others.
Single batch ledgers or individual quality inspection reports can reach thousands of characters in length. Some archived files have large file sizes.
What constraints these characteristics impose on deployment and upgrade
Carbon steel marketing content for finance, insurance, and wealth management fields must adapt to multi-rhythm data source update requirements. Configure differentiated sync cycles to avoid resource waste or data lag.
There are many structured fields and complex units. Configure precise field mapping rules to prevent parameter confusion that harms the professionalism and accuracy of marketing content.
Large-volume, long-text documents require adjustments to parsing and upload threshold configurations. This avoids parsing timeouts or upload failures that disrupt delivery efficiency of marketing content.
Differentiated data types have different recall priorities. Preset matching rules to meet precise targeting requirements in finance, insurance, and wealth management scenarios.
During upgrades, compatibility must be maintained with import logic for older structured data. This prevents historical archived data from becoming unavailable, which disrupts marketing services for existing customers.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 to 900 seconds | Parsing steps for carbon steel quality inspection reports and bulk quote sheets are numerous, with higher time consumption than generic documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports bulk upload of large files such as steel mill monthly production capacity ledgers and quarterly inventory reports |
maxContext | 8000 to 12000 characters | Carbon steel marketing content often includes long specification parameters, contract clauses, and bulk data summaries |
Recall count | Top 8 to 12 entries | Carbon steel product data has many parameter fields, requiring a balance between recall precision and display density of marketing content |
Similarity threshold | 0.75 to 0.85 | Carbon steel marketing requires matching precise steel grade and specification fields, avoiding redundant low-match results that cause interference |
Chunk size | 1500 characters | Adapts to segmented parsing of long-text quality inspection reports and quote sheets, preventing content truncation |
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 test on your own samples before finalizing settings.
Three common mistakes
- Issue: When deploying the
marker_pdfparser for carbon steel PDFs in version 3.9.2 self-hosted environment, the platform reports a timeout error but the parsing service shows success. Cause: The value ofPARSE_FILE_TIMEOUT_SECONDSis lower than the actual parsing time required for this type of PDF, and does not adapt to the long-text characteristics of carbon steel documents. - Issue: Knowledge base citations are only displayed in the fixed area at the bottom of the page, and cannot be embedded into the main body of marketing content. Cause: The
引用嵌入configuration item is not enabled, and only the global citation display logic is enabled by default. - Issue: Abnormal restart prompts are triggered every 30 minutes after Docker deployment. Cause: No reasonable value is configured for
HEALTH_CHECK_INTERVAL, or system resource thresholds are set too low, leading to health check failures.
How to confirm configurations are set correctly
- Upload a single carbon steel quality inspection report over 200 MB, verify the parsing completion status and time consumption, and adjust the timeout parameter to match the actual parsing duration.
- Import bulk structured steel trade ledgers, verify the field mapping results, and confirm that the
Field Matching Rulesconfiguration covers all required parameters. - Trigger a full knowledge base sync, verify that the update time in the sync log matches the latest update rhythm of the data source.
- Initiate a test query containing steel grade and specification keywords, verify that the number of recall results and the configuration logic of the similarity threshold align with the set values.
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.