What the Data for This Category Looks Like
Iron ore research report data primarily comes from publicly disclosed information from global mainstream mining enterprises, domestic port regulatory authorities, futures exchanges, and industry associations. Update cycles cover three core data types: daily port inventory, weekly shipping freight rates, and monthly supply and demand balance sheets. Most documents are in PDF format, with embedded structured tables and trend charts. Core fields include ore grade proportion, spot price, arrival volume, and inventory volume. Common units are dry tons, yuan per ton, and US dollars per dry ton. Some reports also include quarterly forward pricing forecast content.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting
The multi-source, scattered nature of iron ore research report data requires clear differentiation of timeliness tags for different data sources during multi-turn dialogue, to avoid confusion from cross-cycle data. Core data with varying update frequencies (daily inventory, monthly supply and demand balance sheets) needs preset priority rules in prompts, to guide users to specify query cycles clearly. The mix of multiple fields and units requires prompts to enforce that returned results include units. During multi-turn follow-up questions, the system must automatically associate limiting conditions from the previous round, such as grade and usage volume, to eliminate context ambiguity. Embedded structured tables and charts require the dialogue system to support parsing non-text structured content, and to handle detailed follow-up questions about chart data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual iron ore research reports have relatively long content. Multi-turn dialogue needs to retain context from multiple rounds of questions and multiple reports to avoid loss of key information |
RECALL_TOP_N | Top 8–12 entries | Iron ore research report data sources are scattered. Sufficient recall coverage of content across different dimensions is required, while avoiding redundant information interfering with dialogue |
SIMILARITY_THRESHOLD | 0.72–0.78 | Core keywords of iron ore research reports (such as grade, arrival volume) have high recognizability. A threshold that is too low will introduce irrelevant data, while a threshold that is too high may miss valid content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing embedded charts and large tables takes a long time. Sufficient time must be reserved for structured extraction |
WORKFLOW_MAX_RUN_TIMES | 1000 | Chained reasoning in multi-turn dialogue may involve multiple rounds of data verification. Sufficient run times must be supported to complete complex queries |
Segment Length | 1000–1500 characters | There is a large difference in length between table paragraphs and text paragraphs in iron ore research reports. Excessively long segments will affect recall accuracy, while excessively short segments will increase the cost of context splicing |
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 specific analysis, and it is recommended to conduct tests on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When calling the API, the last returned dialogue variable will overlay results from the previous round of variables. Cause: No variable isolation rules are configured in the workflow, and context caching for multi-turn dialogue is not stored separately by session ID, leading to mutual interference of data from different sessions.
- Phenomenon: Input guides and a thesaurus are configured, but the expected guide questions do not appear in the dialogue interface. Cause: The "enable input guide in dialogue interface" switch is not turned on, or the keyword matching rule of the thesaurus is not set to real-time triggering, resulting in failure to load guide content.
- Phenomenon: After uploading an XLSX-format iron ore research report, the dialogue system cannot repeat the file content. Cause: The "table structured parsing" configuration item is not enabled, or the uploaded XLSX file uses non-standard formats such as merged cells or hidden columns, causing the parsing engine to fail to extract valid content.
How to Confirm Proper Configuration
- Initiate a single-turn query for daily iron ore port inventory data, and check whether the returned result includes clear units and data source tags.
- Initiate two consecutive queries: first query the monthly supply and demand balance sheet, then follow up with a question about a specific grade proportion value, and check whether the system retains the context from the previous round of queries.
- Upload an iron ore XLSX research report with merged cells, and check whether the parsed knowledge base content includes structured fields from the table.
- View workflow operation logs, confirm that session IDs for multi-turn dialogue are unique, and that variable output does not show data overlay across sessions.
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.