What data for this category looks like
Data sources for this category include export documents from industry spot trading platforms, monthly briefings from non-ferrous metal industry associations, enterprise-made customer acquisition manuals, collections of marketing scripts, and organized documents of customer follow-up cases. Spot market documents are updated daily. Industry analysis documents are updated weekly or monthly. Document structures include structured tables such as metal grades, storage locations, quotes, plain text analysis paragraphs, and product descriptions with parameters. Fields include metal grades, spot quotes, storage volumes, delivery grades, with units of yuan/ton, ton, and grade identifiers.
What constraints these characteristics impose on the document parsing and chunking link
The daily update feature of spot market documents requires the parsing process to prioritize retaining timestamp associations. This prevents cross-time-period market data from being merged during chunking. The high proportion of structured tables requires the parsing node to retain the row and column structure of tables. Directly breaking tables into plain text paragraphs must be avoided. Collections of marketing scripts use short modules as their main structure. The chunking logic must balance semantic integrity, and fixed-length splitting logic cannot be used. The unit binding feature of specific fields requires retaining the association between quotes and yuan/ton, and storage volumes and tons during parsing. This avoids losing semantics after fields and units are split. Additionally, batch-exported documents may contain duplicate headers. Logic to automatically filter redundant headers must be configured.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Industrial metal marketing documents contain a large number of structured quotation tables. Enabling this option retains the row and column structure of tables and prevents semantic disruption of content |
CHUNK_MAX_LENGTH | 800–1200 characters | Balances the semantic integrity of marketing scripts and subsequent recall density, and adapts to the document structure dominated by short modules |
PARSE_KEEP_HEADER | Automatically filter duplicate headers | Batch-exported documents often carry duplicate headers. This configuration reduces interference from redundant content on chunking |
PARSE_TIMESTAMP_AWARE | Enabled | Spot market documents are updated daily. Enabling this option identifies timestamps in documents and prevents cross-time-period data from being merged during chunking |
UPLOAD_FILE_MAX_SIZE | 500 MB | Industrial metal marketing documents often contain batch-exported table collections. This value supports large-volume batch file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | This duration covers the complete parsing process when parsing large-volume batch documents, and prevents mid-parsing timeouts |
The parameter values provided on this page are common recommended starting points for configuration. The actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After uploading a file in a server deployment environment, the parsing node returns a
404 Not Founderror. Cause: The relative path temporary directory used in the local development environment is not correctly mapped to the static resource path after server deployment, so the parsing node cannot read the uploaded file. - Issue: Structured table content in the parsed chunking result is directly broken into plain text, and row and column associations are lost. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled. The parsing node converts table content into unstructured text by default. - Issue: The storage directory of uploaded files cannot be located, and files cannot be manually synchronized to the parsing node. Cause: The
UPLOAD_TEMP_DIRparameter is not explicitly configured. The system uses the default temporary directory and does not expose the path externally.
How to confirm the configuration is properly set
- Upload an industrial metal spot quotation document containing structured tables, check the parsed chunking result, and confirm that the row and column structure of the table is fully retained.
- Upload multiple batch-exported industry briefing documents, check whether duplicate header information exists in the chunking result, and confirm that redundant content has been automatically filtered.
- Upload a large-volume document, wait for the parsing process to complete, and confirm that no timeout error is triggered.
- Check the file storage configuration in the system backend, confirm that uploaded temporary files are stored in the specified directory, which meets the setting requirements of
UPLOAD_TEMP_DIR.
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.