What this category’s data looks like
Data sources for energy metals intelligent due diligence reports include industry association monthly/quarterly supply and demand briefings, mining enterprise annual reserve reports, customs import and export statistical documents, spot market price ledgers, and third-party research notes. Update rhythms vary significantly: spot price documents are updated daily, industry supply and demand reports are released quarterly, and corporate annual reports and reserve data are updated annually. Document formats include docx graphic and text analysis reports, pdf industry white papers, excel production capacity and inventory spreadsheets. Some documents contain embedded images such as mine distribution maps and price trend charts. Core fields include ore grade, proven reserves, annual production capacity, and import and export volume. Corresponding units are mostly percentage, ton, ten thousand tons per year, and kilogram per ton.
What constraints do these characteristics impose on document parsing and chunking
Mixed multi-source formats require the parsing module to support compatible parsing of docx, pdf, excel and other file formats. Frequently updated spot documents require the parsing process to have low latency to avoid task failures caused by timeouts. The binding relationship between special fields and units requires retaining data context during chunking, to prevent splitting associated data such as ore grade and corresponding reserves. Embedded images and complex tables require the parsing module to retain the original structure, to avoid broken table content or lost image data. Document sizes range widely, from a few pages of briefings to dozens of pages of annual due diligence reports. Chunking rules must adapt to content of different lengths, balancing context integrity and retrieval efficiency.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 2000 MB | Energy metals due diligence documents often contain a large number of high-definition mine images and historical price data, so the single-file volume is generally large |
maxChunkSize | 800–1200 characters | Core energy metals data is mostly a combination of associated fields. Excessively long chunks will destroy data context, while excessively short chunks will split complete production capacity and reserve data groups |
PARSE_TABLE_ENABLE | Enabled | Tables such as production capacity, inventory, and import and export volume in due diligence reports are core analysis basis, and the original table structure must be retained |
PARSE_IMAGE_OCR_ENABLE | Enabled | Embedded mine distribution maps and price trend charts contain key data, and OCR is required to extract text content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long documents or documents containing a large number of images requires sufficient processing time to avoid triggering timeout alerts |
PARSE_GPU_DEVICES | Specified according to the deployment environment | Multi-GPU deployment scenarios require clear specification of available GPU devices to avoid resource idleness or call conflicts |
The parameter values provided on this page are conventional recommendations used as a starting point 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 settings.
Three common configuration errors
- Phenomenon: Markdown-formatted tables are truncated after parsing, with
[hide X char]displayed in the details panel. Cause: ThemaxChunkSizeparameter is not adjusted. Table content exceeding the single-chunk length is forcibly split, resulting in broken table structures. - Phenomenon: When uploading files for parsing to the knowledge base, the log reports a
slow operation xxxxmserror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSormaxChunkSizeparameter is not adjusted. The parsing time of long documents or large-volume files exceeds the default threshold, triggering a timeout alert. - Phenomenon: The parsing task only uses a single 3090 GPU and cannot access the second GPU resource. Cause: The
PARSE_GPU_DEVICESparameter is not configured to specify available GPU devices, or the deployment environment does not correctly map multi-GPU resources.
How to confirm your configuration is correct
- Upload a single energy metals due diligence document that matches your business scenario. Check the
parse_successfield status in the parsing log to confirm that the parsing timeout and volume limit configurations adapt to the current file range. - Extract the parsed chunked content, and verify that core production capacity and inventory tables fully retain their original structure. This confirms the table parsing configuration is active.
- Review the GPU usage of the parsing task to confirm that multi-GPU resources are being correctly called, and that the
PARSE_GPU_DEVICESparameter setting aligns with your deployment environment. - Compare the content of adjacent chunks, and check that associated fields have consistent context. This confirms that the chunk overlap parameter setting adapts to data association characteristics.
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.