What the Data for This Category Looks Like
Iron ore due diligence data comes from mine production logs, port transfer records, customs clearance documents, bulk commodity spot trading systems, and downstream steel mill purchase ledgers. It is primarily used for commodity credit extension due diligence scenarios by financial institutions. Update frequencies vary: port transfer data is updated daily, customs document data is synchronized weekly, and spot trading data is updated in real time. There are two document structure types: a single due diligence report uses a structured table with accompanying notes, while bulk aggregated data is available in CSV or standardized JSON format. Core fields include batch number, country of origin, particle size range, iron content reference value, loading/unloading weight, and transaction price. The weight unit is tons, and the price unit is yuan per ton.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Multiple data sources with differing update frequencies require clear specification of the currently invoked data source type during multi-turn dialogue, to avoid confusing port, customs, or spot data with different time granularities. Two document structures require prompts to distinguish processing logic for structured table data and unstructured notes, to prevent mixed recalled data formats. Core fields have fixed units. Multi-turn dialogue workflows must automatically validate field unit matching to avoid mixing weight or price units. Real-time and non-real-time data have different priority levels. Multi-turn dialogue must support user-specified data time ranges, to ensure the timeliness of due diligence reports meets financial due diligence requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Iron ore due diligence data includes associated information across multiple batches and fields. Sufficient context supports parameter association validation during multi-turn dialogue |
recallTopK | Top 6–10 entries | Iron ore due diligence data has many batches. Too many recalled entries adds redundancy, while too few misses key parameters for core batches |
SIMILARITY_THRESHOLD | 0.75–0.85 | Matches the similarity calculation logic for BGE models deployed via Ollama. Requires precise matching of core fields such as iron ore batch and origin, to avoid recalling irrelevant data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Matches the parsing logic of FastGPT 4.8.10. Structured parsing of bulk iron ore due diligence documents requires significant time, to prevent document import failures due to timeout |
fixedWorkflowPerSession | Enabled | Matches the fixed workflow requirements for iron ore due diligence, to avoid data validation logic confusion caused by mid-session workflow switching |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Meets the volume requirements for bulk iron ore due diligence aggregated documents, to support large file imports |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- 500 error returned when importing iron ore due diligence documents. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and batch document parsing timeouts were not handled correctly. - Multi-turn dialogue outputs results from all AI conversation modules, instead of only retaining the final result. Cause: Conversation result truncation rules were not configured, or the output node of the session workflow was not locked.
- Mixed data source types are invoked during multi-turn dialogue, with port data and customs data used together. Cause: The prompt did not include clear data source validation logic, and the data source selection step of the session workflow was not locked.
How to Confirm Proper Configuration
- Upload a standard-sized iron ore due diligence document, check that the parsing status is normal. Adjust the corresponding parameter if a timeout error occurs.
- Initiate a multi-turn dialogue, enter queries for different iron ore batches, check that the number of recalled results matches expectations, and adjust the corresponding configuration item.
- Initiate a multi-turn dialogue and switch workflow options, check that the fixed workflow is maintained, and confirm that the session workflow locking configuration is effective.
- Check whether the operation buttons for conversation logs are visible, and confirm that the log management 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.