What the Data for This Category Looks Like
Energy metals research report data comes from periodic documents released by public industry research institutions, operational documents disclosed by mining enterprises, and market summaries from commodity trading platforms. Documents follow a set update cadence: quarterly and semi-annual industry overviews, plus temporary analysis documents for sudden supply and demand shifts. Document structures include hierarchical chapters, core quantitative data tables, and supply and demand analysis paragraphs. Fields include report release date, target name, production scale, transaction price, and rating conclusion. Supported units include tons, yuan, ten thousand tons/year, and similar units.
Constraints Imposed on Document Parsing and Chunking
The characteristics of energy metals research reports create multiple constraints for parsing and chunking.
- Documents contain many closely related quantitative data tables. Accurately identify the binding relationship between table fields and values to avoid splitting a single set of data apart.
- Temporary analysis documents have non-standard structures. Use flexible parsing rules to cover different formats of temporary reports.
- Field units are diverse and strongly bound to values. Retain the association between units and values during chunking to avoid unit confusion in subsequent retrieval.
- Research reports have clear hierarchical chapter logic. Match chunk boundaries to chapter divisions to ensure each chunk corresponds to an independent analysis topic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segmentLength | 800–1200 characters | Matches the average length of core analysis paragraphs and data table blocks in energy metals research reports, avoids splitting a single set of supply and demand data |
segmentOverlap | 100–150 characters | Retains key indicator associations across chunks, such as price data in one chunk and trend analysis in the next |
parseTableMode | preserve complete table structure | Core quantitative data of energy metals research reports is concentrated in tables; splitting tables will destroy the relevance of core data |
splitByHeadingDepth | 3 levels | The chapter hierarchy of energy metals research reports usually goes up to 3rd-level headings; chunking by this ensures each chunk corresponds to an independent analysis topic |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large-scale overview research reports take longer to parse; prevents parsing failure due to timeout |
maxChunkPerDoc | 50 | Avoids excessive retrieval redundancy caused by too many chunks per document, while covering all core chapters of the research report |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Uploading a large energy metals research report results in parsing failure, with the log returning a
408 Request Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for parsing large-scale overview reports containing multiple tables. This issue is relatively common in local deployment instances of version v4.8.14 and later. - Symptom: Table data in chunking results is split into scattered text, making it impossible to associate corresponding indicators. Cause:
parseTableModewas not set to preserve complete table structure. The default table splitting rule will destroy the relevance of core data in energy metals research reports. - Symptom: Custom parsing post-processing scripts do not take effect, and chunking results do not filter redundant fields as expected. Cause: The custom JS parsing callback was not enabled in the knowledge base configuration, or the script logic was not bound to the correct parsing trigger node. This corresponds to the configuration logic of version v4.8.10 and later.
How to Verify Proper Configuration
- Upload a single typical energy metals research report, view the chunk list of the parsing result, and verify that no core quantitative data and analysis text are split apart in each chunk.
- Compare the chunk structure before and after adjusting the
splitByHeadingDepthparameter, and confirm that the chunk boundaries match the chapter hierarchy of the research report. - Upload a research report containing multiple tables, verify that the tables in the parsing result exist as complete chunks and are not split into scattered text.
- Upload a large-scale overview research report, confirm that no timeout prompt appears during the parsing process, matching the configured timeout parameter.
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.