What Data for This Category Looks Like
Special steel research reports primarily come from public quarterly industry association reports, segmented research reports on the steel industry from leading securities firms, and monthly production and sales briefings from domestic special steel manufacturers. Update cycles fall into three categories: association reports are released quarterly, securities firm reports are updated irregularly alongside industry trends, and enterprise briefings are updated weekly. Document structure includes special steel grade identifiers, chemical composition proportions, mechanical performance parameters (tensile strength, yield strength, units in MPa), market supply and demand data, downstream application scenarios. Some reports include monthly special steel average prices, measured in yuan per ton.
What Constraints Do These Characteristics Impose During Deployment and Upgrade?
The multi-source heterogeneous nature of special steel research reports requires adapting document parsing rules for different formats during deployment, to avoid deviations in structured field extraction. Differentiated update cycles require configuring incremental sync tasks, distinguishing update trigger logic for quarterly and weekly updates, reducing resource consumption from full reprocessing. Special steel-specific mechanical performance and chemical composition parameters require standardized storage, ensuring units and fields match during vector recall and avoiding invalid matches. Technical paragraphs make up a large share of long-text research reports. During upgrades, adjust the segmentation strategy to avoid truncating critical grade and performance data.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Special steel research reports often include long technical chapters. A longer timeout prevents interruptions during large file parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates the file sizes of large monthly association reports and full-year manufacturer production and sales briefings |
maxContext | 3500–4000 characters | Preserves complete paragraphs of special steel grades, chemical compositions and mechanical performance parameters, avoiding truncation of critical structured data |
| Number of Recall Results | Top 12 results | Covers relevant research reports across different segmented special steel categories, avoiding missed reference content for niche grades |
| Similarity Threshold | 0.72–0.78 | Filters general steel research reports not related to special steel categories, retaining content strongly tied to target special steel categories |
| Number of Reranked Return Results | Top 6 results | Retains the most relevant special steel professional data after reranking, streamlining returned content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Analyze specific cases individually, and test against your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Exposing the platform to the public internet via ngrok results in a white screen when accessing the platform from a mobile device. The browser console returns a 403 Forbidden status code. Cause: Cross-origin resource sharing rules are not configured. The platform restricts interface access from non-local domains by default.
- Phenomenon: When deploying Xinference to call a large model, GPU power consumption and utilization remain low for long periods, while single CPU core usage reaches 100%. Cause: The GPU device ID for model loading is not specified, or tensor parallel configuration is not enabled. This causes the model to perform inference only using CPU cores.
- Phenomenon: When configuring an online model in version V4.9, the specified deepseek model fails to load. The interface displays the prompt "Model identifier not found". Cause: The API key and correct interface address for the third-party model are not filled in the system settings, or the model identifier format does not meet version requirements.
How to Confirm Proper Configuration
- Upload a locally saved special steel research report PDF. Check that the parsed text fully retains structured fields such as grades and chemical compositions, with no truncation or garbled characters.
- Initiate a query for a specific special steel grade. Verify that the returned research report content includes exclusive parameters for that grade, and that the number of recall results matches the preset configuration range.
- View the system monitoring dashboard. Confirm that parsing tasks do not trigger timeout errors, and that GPU resource usage adjusts dynamically alongside query requests.
- Access the platform from a non-local domain. Confirm that the chat interface loads normally, with no white screen or interface errors.
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.