What the Data for This Category Looks Like
Data for steel trade-related research reports mainly comes from industry association public reports, internal steel mill operation reports, real-time data from commodity trading platforms, and analysis documents from third-party industry consulting firms. Data update rhythm has multiple tiers:
- Spot price data is updated daily
- Weekly industry reports are released weekly
- Monthly supply-demand and import-export analysis is updated monthly
- Quarterly deep research reports are released quarterly
Document structure includes three types of content: structured tables (such as spot price sheets, inventory ledgers), textual analysis, and policy interpretations. Core fields include steel grade, specification model, origin, transaction price (unit: yuan per ton), trade volume (unit: 10,000 tons), inventory days, and more. Some research reports also include segmented data for regional markets.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
The high proportion of structured tables, specialized data fields, and large differences in update frequencies of steel trade research reports impose multiple constraints on deployment and upgrade links. First, parsing multi-page structured tables takes a long time, so file parsing timeout settings need to be adjusted. Second, there is a high demand for precise matching of specialized fields such as steel grade and specification, so targeted vector recall rules need to be configured. Third, the high-frequency updates of real-time spot data require reasonable interval settings for incremental sync tasks, and data source connections must be ensured not to be interrupted during upgrades. Fourth, single research reports may contain multiple attached tables, with generally large file sizes, so maximum upload and parsing file size limits need to be adjusted.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Steel trade research reports often contain multi-page structured tables, which take a long time to parse. The default timeout is insufficient for complete parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | A single monthly industry research report may include multiple attached tables, with total file sizes generally larger than the default limits for general scenarios |
maxContext | 8000–12000 characters | The steel trade scenario needs to recall multi-dimensional data such as associated specifications, origin, and price, requiring a sufficient context window to accommodate relevant information |
Recall Count | Top 10–15 results | There are many segmented categories in steel trade, so matching results for different specifications and origins need to be covered. More recall results can improve the accuracy of final retrieval |
Similarity Threshold | 0.75–0.85 | Matching requirements for steel grades and specifications are strict. Low-relevance retrieval results need to be filtered to avoid interference from irrelevant content |
Incremental Sync Interval | 1 hour | Spot price data is updated daily. High-frequency sync ensures the timeliness of retrieved data, adapting to the real-time decision-making needs of trade scenarios |
The parameter values provided on this page are conventional recommendations used as a starting point 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 local samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After all containers start, accessing the frontend page returns 502 Bad Gateway. Cause: Frontend service port mapping is not configured correctly, or the frontend container starts before the backend API service completes initialization.
- Phenomenon: FastGPT cannot call the local OLLAMA model, and logs show connection refused. Cause: OLLAMA is bound to 127.0.0.1, and the docker-compose service network is not configured to share the host network, resulting in inability to access across containers.
- Phenomenon: After upgrading from 4.9.10 to 4.9.13, the original data source sync configuration fails. Cause: The original .env configuration file was not backed up, and the new version's configuration file was overwritten directly, resulting in loss of custom parameters.
How to Confirm Configuration Is Complete
- Access the frontend page's health check interface, confirm that the returned status code is 200, to verify overall service connectivity.
- Upload an Excel attachment of a steel trade research report, check the parsed field list, confirm that core fields such as steel grade, specification, and price can be correctly extracted.
- Trigger an incremental sync task, check the sync logs, confirm that the task executes successfully and the update timestamp of the data source is correctly updated.
- Initiate a query for steel spot prices, check whether the returned results include matching research report content, to verify that the retrieval logic is working.
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.