What the Data for This Category Looks Like
Small metals investment research data comes from industry association monthly supply and demand statistics, exchange spot quotes, customs monthly import and export data, enterprise capacity announcements, and professional research reports. Data update rhythms vary significantly. Spot quotes are updated daily. Industry statistics are released monthly. Enterprise announcements and research reports are updated irregularly. Document structures include structured product quotes, inventory, and import and export volume data, semi-structured supply and demand balance sheets, and unstructured policy interpretations and market analysis content. Field units include yuan/ton, ten thousand tons, tons, and other units. Some specialized product categories have exclusive statistical standards.
What Constraints Do These Characteristics Impose on the Vector Models and Indexing Link
The multi-source, multi-format, and differentiated update rhythms of small metals data impose multiple constraints on the vector models and indexing link. Multi-format data requires vector models to support unified embedding of structured numerical values and unstructured text, to avoid semantic deviation. High-frequency updated spot data requires indexes to support real-time incremental synchronization, to avoid resource consumption and delays caused by full re-runs. The large number of specialized product categories and large differences in statistical standards require indexes to be split and chunked by product category, to prevent vector confusion across categories. It also requires configuration of deduplication rules to filter duplicate statistical content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Segment Length | 800–1200 characters | Small metals data includes short-form spot daily reports and long-form supply and demand research reports. This range preserves complete logical units while avoiding embedding deviation in single-segment vectors |
Vector Model | bge-large-zh-v1.5 | Adapts to professional terminology in the small metals industry, with higher semantic embedding accuracy for specialized product categories |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large industry research report PDF files take a long time to parse, to avoid timeout interruptions of the parsing process |
Duplicate Index Deduplication Threshold | 0.92 similarity | Filters duplicate statistical standard content in the small metals industry, while retaining valid data differences |
Number of Retrieved Entries | Top 10 | Covers multi-dimensional retrieval needs for supply and demand, price, policy, and other aspects required for small metals investment research |
Incremental Index Trigger Threshold | 50 new data entries | Balances the stable daily spot data update frequency of small metals and indexing resource consumption |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Uploaded small metals industry research reports initially show 8 segments, then later show 13 segments, with duplicate index fragments. Cause: No
duplicate index deduplication thresholdis set, and the segmentation strategy does not split by small metals specialized product categories. This causes the same statistical content to be repeatedly segmented and embedded. - Phenomenon: After upgrading from version 4.9.0 to 4.9.3, previously queryable small metals spot quote data can no longer be retrieved. Cause: The default embedding dimension of the new version's vector model is adjusted, and the vector embeddings of original documents are not regenerated. This causes semantic matching failures.
- Phenomenon: Batch triggering of vector model retraining is not supported. Only single files can be adjusted for parameters and re-uploaded. Cause: The
batch index synchronizationparameter is not configured, and training tasks are not executed in batch groups by small metals product categories.
How to Verify Correct Configuration
- Upload a single small metals spot daily report, check the segmentation results, and verify that single-segment lengths fall within the configured
segment lengthrange. - Execute a batch indexing task, verify that tasks are grouped by small metals product categories, and that trigger conditions match the configured incremental indexing rules.
- Retrieve supply and demand data for a specified small metals product category, verify that the similarity of returned results meets the configured threshold requirements, and that no duplicate fragments are present.
- After upgrading the version, regenerate vector embeddings for original documents, verify that original retrieval results can be returned normally.
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.