What the data for this category looks like
Data related to iron ore marketing content mainly comes from commodity spot trading platforms, official futures exchange websites, steel mill procurement announcements, and international freight forwarder shipping schedule reports. Update rhythms fall into three categories: spot prices are updated daily after market close, futures position data is synchronized each trading day, and industry research reports and shipping schedule information are updated weekly. Document structures are mostly a mix of structured tables and paragraphs. Core fields include ore grade, origin, pricing unit (yuan per wet ton or yuan per dry ton), daily price change range, and port inventory volume. Some longer documents include industrial chain supply and demand analysis content.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The multiple data sources and differing update rhythms of iron ore data require the knowledge base to support batched incremental synchronization of different data source types, to avoid excessive server resource consumption from full synchronization. Subdivision dimensions such as grade and origin in structured fields require multi-field filtering during retrieval. Otherwise, precise matching of users' subdivision query requirements cannot be achieved. Unit differences (wet ton and dry ton) across different documents can lead to loss of valid results during retrieval due to unit mismatch. Unit normalization must be completed during the indexing phase. The content length and real-time requirements of long documents also require the retrieval and recall link to prioritize recalling content updated within the last 7 days, to avoid outdated data interfering with user decision-making.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_TOP_N | Top 10-15 results | Iron ore-related content has moderate length; too many results will exceed the model context limit, while too few will fail to cover valid information |
SIMILARITY_THRESHOLD | 0.72-0.85 | High precision is required for subdivision category keywords; a threshold that is too low will include irrelevant steel category data, while a threshold that is too high may filter out valid matching results |
SYNC_INTERVAL | 4 hours | Spot data is updated daily; a 4-hour interval balances timeliness and server load |
PARSE_CHUNK_SIZE | 800-1200 characters | Adapts to research reports and analysis content in long iron ore documents, avoiding semantic fragmentation |
UNIT_NORMALIZATION | Enabled | Unifies wet ton and dry ton units to avoid loss of results during retrieval due to unit mismatch |
RERANK_TOP_N | Top 5 results | Prioritizes displaying the most relevant real-time quotes and industry updates, improving user information acquisition efficiency |
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 test on your own samples before finalizing.
Three Common Mistakes
- No matching results after importing web links that require login: The interface returns empty knowledge base results. The cause is that no web crawling login credentials or session cache are configured, preventing successful crawling of target data source content.
- Abnormal retrieval results after deploying dual instances: The number of results returned in formal conversations is much lower than in debug previews. The cause is that the knowledge base indexes of the two instances are not synchronized, and retrieval only targets the local index of a single instance.
- Debug preview works normally but formal conversation prompts no knowledge base selected: The formal conversation interface displays the error message "No knowledge base selected". The cause is that the formal environment application configuration is not bound to the imported knowledge base dataset.
How to Confirm the Configuration Is Correct
- Run a single document parsing test, view the segmented content after parsing, confirm that the segment length matches the configured value and unit normalization has been completed.
- Run a precise retrieval test, enter "62% Australian powder spot price", check the number of returned results and matching degree with the similarity threshold.
- Check the incremental synchronization logs, confirm that data source updates from the last 4 hours have been correctly indexed.
- Verify the formal environment application configuration, confirm that the target knowledge base dataset has been bound and there are no missing permission configurations.
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.