What the Energy Metals Data Looks Like
Energy metals data primarily originates from global metal exchange market data, monthly industry association reports, listed companies’ regular announcements, and materials from professional supply chain research institutions. Update frequencies fall into three categories: spot prices update each trading day, industry supply and demand data releases monthly, and corporate financial reports update quarterly and annually. Document formats include structured market tables, semi-structured research report sections, and unstructured industry analysis text. Core fields include metal grade, production capacity/transaction volume, transaction price, statistical cycle, and additional details like production locations and smelting processes may be included in some documents. Statistical calibers and units for data vary across sources.
Constraints Imposed by Data Characteristics on Citation Traceability
The multi-source, heterogeneous nature of energy metals data creates multiple constraints for citation traceability. Structured market data requires precise matching of trading venues, contract codes and units. Otherwise, unit confusion or data source misalignment will appear in traceability results. Frequently updated spot data requires the knowledge base to match the update frequency of market releases. Otherwise, traceability content may lag behind current market conditions. Multiple document formats require the traceability system to distinguish between structured tables, research report sections and other carriers, and assign corresponding traceability fields for each data type. For example, mark trading dates and exchanges for market data, and mark publishing institutions and times for research reports. The complex field system requires traceability information to clearly list units and statistical calibers of core indicators, to avoid ambiguity between identically named indicators from different sources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | text-embedding-3-large | Energy metals industry has dense specialized terminology. This model better captures industry semantic features and improves traceability matching accuracy |
recall_count | Top 8-12 | Energy metals data includes multi-dimensional structured and unstructured content. Too many recalls increase traceability redundancy, while too few fail to cover complete investment research logic |
similarity_threshold | 0.72-0.85 | Energy metals industry terminology is highly specialized. A threshold that is too low introduces irrelevant data, while too high may miss valid information for different origins of the same category |
rerank_return_count | Top 4-6 | Investment research scenarios require precise traceability of core data. Reranking filters low-correlation recall results while retaining sufficient traceability samples |
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Parsing large industry research reports and batch structured tables takes a long time. Timeouts prevent some data from completing traceability preparation |
source_display_mode | Full path + metadata | Energy metals traceability requires clear identification of data source publishing institutions, release times and statistical calibers. Complete metadata meets investment research compliance requirements |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After calling the knowledge base query in a workflow, the returned answer does not include any traceability information, or the cited content does not match the uploaded knowledge base data. Cause:
source_display_modeis not configured to full metadata mode, and the similarity threshold is set too high, causing valid recalled data to not be correctly associated. - Symptom: After uploading batch structured market tables, some data cannot complete traceability, and "no matching content" is prompted during retrieval. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set below 300 seconds. Large tables are included in the knowledge base before parsing is complete, causing some fields to not be correctly indexed. - Symptom: Traceability content with unit confusion appears in the answer, for example, marking "USD per ton" as "yuan per kilogram". Cause: The unit display switch for
source_display_modeis not enabled, and the statistical caliber field of data is not verified during recall, causing identically named indicators from different sources to be incorrectly associated.
How to Verify Proper Configuration
- Upload a standard energy metals spot market table, search for relevant keywords, and confirm that the traceability information of returned results includes exchange names, trading dates and price units.
- Adjust
similarity_thresholdandrecall_count, search the same keyword multiple times, and confirm that the number and relevance of recalled results meet investment research scenario requirements. - Upload a large industry research report, wait for parsing to complete, search for specialized terms within the report, and confirm that parsed content can be fully recalled and traced.
- Check workflow node configurations, confirm that the knowledge base call link has enabled traceability information binding, to ensure that query results can be correctly cited in answers.
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.