What Data for This Category Looks Like
Data sources for industrial metal due diligence reports include public market data from the London Metal Exchange and Shanghai Futures Exchange, monthly supply and demand reports from industry associations, and daily price quotes from spot traders. Data update rhythms fall into two categories: spot quotes are updated daily, industry supply and demand reports are updated monthly, and customs import and export data is released with a monthly delay. Document formats include structured Excel tables and PDF industry analysis reports. Core fields include delivery grade, spot price, futures price, total inventory, and import and export volume. Most units are yuan/ton and USD/ton.
Constraints for Vector Models and Indexing
Multi-source, multi-format data requires the indexing system to support vectorization of both structured tables and unstructured text, to avoid losing field associations after splitting. Differing update frequencies require adapted indexing strategies: daily updated spot data needs incremental sync support, while monthly updated industry reports can use full refresh. Diversity of core fields and units requires field format validation and unification before indexing, otherwise semantic confusion will occur in vector recall results. Logical splitting of long documents must align with the chapter structure of industry reports, to avoid destroying the contextual relevance of data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Industrial metal due diligence reports contain large amounts of structured market data tables, and table structure must be preserved before vectorization |
CHUNK_SIZE | 800–1200 characters | Industrial metal data includes fixed fields and units. Overly long chunks will lose field associations, while overly short chunks will damage the integrity of market logic |
INDEX_INCREMENTAL_STRATEGY | Sync incrementally by update time | Industrial metal data is divided into daily updated spot prices and monthly updated industry reports. Incremental sync reduces duplicate indexing overhead |
RECALL_TOP_K | Top 10 entries | Due diligence reports need to cover multi-dimensional market data. Too many recall results will introduce irrelevant fields, while too few will miss key indicators |
SIMILARITY_THRESHOLD | 0.75–0.85 | Industrial metal field semantic similarity is relatively high, such as "spot price" and "factory price". A reasonable threshold must be set to filter weakly associated results |
UPLOAD_FILE_MAX_SIZE | 200 MB | Monthly industry report files have large sizes, and must adapt to the upper limit of batch imported files |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After upgrading the version, the same CSV file cannot be split normally, with the error prompt "field format mismatch". Cause: The new version enables structured field verification by default, and does not support non-standard field naming in old version CSVs, such as mixing "tons" and "t" as unit suffixes.
- Phenomenon: Knowledge base indexing gets stuck, the interface shows "indexing not completed" with no progress update. Cause: The
INDEX_RETRY_TIMESparameter is not configured. Parsing failures for a single piece of data do not automatically retry, causing task blocking. - Phenomenon: A large number of irrelevant unit field confusions appear in recall results, such as "USD/ton" and "RMB/ton". Cause: The
PARSE_FIELD_UNIFYconfiguration is not enabled, and the unit field formats of different data sources are not unified.
How to Confirm Proper Configuration
- Upload a standard industrial metal spot price CSV, check if the parsed chunks retain core fields such as "delivery grade", "quote date", "unit price" without field loss.
- Trigger an incremental indexing task, verify that only the updated daily spot data was successfully indexed, and no historical full data was re-indexed.
- Input "LME copper spot price" for a recall test, check that the returned result similarity meets the preset threshold, with no obvious irrelevant entries.
- View the indexing task log, confirm that no
PARSE_TABLE_FAILEDerror code appears, and all table parsing links are completed 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.