What the Data for This Category Looks Like
Iron ore research report data sources include commodity trading platforms, industry research institutions, port logistics records, and steel mill procurement ledgers. Data update cycles align with industrial trading cycles. Spot-related data updates daily to match daily trading rhythms. Supply and demand tracking reports are released weekly. Industrial inventory and import data are updated monthly. Document structures typically include market summaries, structured data tables, policy interpretations, and analysis of price influencing factors. Core fields include ore quality grading, transaction prices, inventory scale, and import volume. Units use standard commodity measurement standards such as yuan/ton and ten thousand tons.
Constraints Imposed on Deployment and Upgrade
The high-frequency update and high proportion of structured data in iron ore research reports impose clear constraints on deployment and upgrade workflows. High-frequency updates require configuring incremental sync task trigger intervals to align with industrial trading cycles, avoiding data lag. Multi-table document structures require enabling a dedicated structured parsing module to ensure complete extraction of core fields. Differences across multiple data sources require configuring unit mapping and format normalization rules to prevent measurement confusion during retrieval. Upgrade processes must maintain continuity of sync tasks to avoid data loss from interruptions.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Iron ore research reports contain large volumes of structured data tables. Enabling this ensures complete extraction of core business fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single documents include multi-page tables and long-text analysis, requiring sufficient time to complete parsing |
RECALL_TOP_N | Top 10 results | Highly matching results for iron ore research reports are usually concentrated in a small number of documents. Excessive recall increases retrieval redundancy |
RERANK_TOP_N | Top 3 results | Users need to accurately access core research report content. Streamlining returned results improves question-answering efficiency |
SYNC_INTERVAL | 3600 seconds | Industrial spot data requires hourly-level updates, ensuring the timeliness of research report data |
UPLOAD_FILE_MAX_SIZE | 800 MB | Iron ore research reports usually include multiple sections of analysis and tables, adapting to the maximum single-document volume requirement |
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. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A Redis connection error appears after startup, with logs showing
connection refusedor connection timeout. Cause: Incorrect mapping of Redis container ports during one-click deployment, or failure to start the Redis service instance prior to local deployment, preventing FastGPT from establishing a connection. - Retrieval results are not sorted by relevance, and reranking functionality is unresponsive. Cause: Version 4.9 does not correctly configure the API endpoint and verification key for the private reranking model, and the reranking plugin is not enabled in system settings.
- Unable to create new users after logging in, or a prompt of invalid user permissions appears. Cause: Failure to initialize the administrator account during local deployment, or failure to enable the public registration switch, preventing the generation of usable accounts.
How to Confirm Proper Configuration
- Upload a standard iron ore research report, check if the parsing result completely extracts core fields from tables, confirming that the table parsing function works correctly.
- Trigger a data sync task, check if the sync log shows successful execution, confirming that the sync interval configuration meets preset requirements.
- Enter iron ore-related search terms, check the sorting logic of retrieval results, confirming that the recall and rerank count configurations take effect.
- Test the connected model interface, confirm that the model's returned answers match the research report content, verifying that the model configuration is correct.
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.