What this type of data looks like
Carbon steel research reports mainly come from steel industry associations, monthly production and sales reports from large domestic steel mills, and special research reports from third-party bulk commodity consulting institutions. They provide core data support for financial investment research scenarios. The update schedule follows regular monthly updates, with temporary reports added during key market moments such as raw material price fluctuations or the release of industrial policies. Most document structures include fields such as carbon steel grade classification, tonnage price, daily average output, and downstream application fields. Common units are yuan/ton and ten thousand tons. The length of a single document ranges from thousands to tens of thousands of characters.
What constraints do these characteristics impose on deployment and upgrade
The multi-source heterogeneous sources, staged update schedule, and long document characteristics of carbon steel research reports bring multiple constraints to deployment and upgrade in financial investment research scenarios. It is necessary to support parsing of research reports in multiple formats including PDF, Excel, and Word. Configure access workflows adapted to multi-source data. Sudden updates of temporary reports require deployment to support manual trigger incremental synchronization, to compensate for the limitations of relying only on scheduled tasks. Adjust segmentation rules for long documents to avoid splitting that breaks the context integrity of core fields such as carbon steel grades and tonnage prices. Preset rules for standardized extraction of structured fields to ensure accurate matching of industry-specific data dimensions during retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The longest individual carbon steel research report can reach tens of thousands of characters, so sufficient file parsing time must be reserved |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some integrated monthly carbon steel research reports have large file sizes, so large file upload requirements must be accommodated |
| Recall Count | Top 6–8 results | Core data of carbon steel research reports is concentrated. Excessive recall will introduce irrelevant industry information and reduce response accuracy |
| Similarity Threshold | 0.75–0.85 | Terminology recognition in the carbon steel industry is relatively high, so low-correlation retrieval results must be filtered to retain highly matched content |
| Incremental Sync Trigger Method | Daily scheduled + manual trigger | Balance scheduled updates for regular monthly research reports and immediate synchronization for temporary reports on sudden market events |
| Reranked Return Count | Top 3–4 results | Only the most relevant research report fragments should be retained after reranking, to avoid excessive redundant content affecting response efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After deployment, the model channel test interface returns
400 Bad Request, but the server side confirms that the large model service is running normally. Cause: The AIproxy request forwarding rules are not configured correctly, causing requests to not be properly routed to the local large model service. - Phenomenon: After uploading multiple carbon steel research reports, the knowledge base recall results do not include structured tonnage price and grade data. Cause: No structured extraction rules are configured for the knowledge base, only full-text vector storage is performed on documents, and industry core fields are not extracted.
- Phenomenon: After the scheduled incremental sync task runs, newly uploaded temporary research reports are not synchronized to the knowledge base. Cause: Only daily scheduled sync is configured, and the manual trigger sync entry is not enabled, so temporary report updates for sudden market events cannot be responded to.
How to Confirm the Configuration is Effective
- Upload a test carbon steel research report, check if the parsed text fully retains core fields such as grades and prices, to confirm that the parsing configuration is effective.
- Trigger a manual incremental sync, check if the synchronization record of the test temporary research report is included in the knowledge base update log, to confirm that the synchronization rules are effective.
- Initiate a carbon steel-related retrieval test, check if the recall count and similarity matching degree of the returned results meet the preset configuration, to confirm that the retrieval parameters are effective.
- Call the knowledge base question answering API, check if the returned results include the citation details field, to confirm that the return citation configuration is enabled.
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.