What the data for this category looks like
Data for specialized equipment financial reports comes from listed company periodic reports disclosed on the Shanghai, Shenzhen, and Hong Kong Stock Exchanges, operational data released by industry associations, and bid award announcements officially disclosed by enterprises. Updates follow a quarterly fixed schedule, with temporary announcements released alongside business milestones. Document structures often include nested tables and parameterized paragraphs. Fields cover detailed items such as equipment production capacity (unit: units/sets), revenue unit price (unit: ten thousand yuan/unit), maintenance duration (unit: hours), and more. Some documents also include long text descriptions of equipment models and technical parameters.
What constraints do these characteristics impose on the document parsing and chunking link?
Nested table structures cause row and column misalignment in general parsing tools. Enable structured table parsing specifically. Parameterized fields bound strongly to units require retaining unit information during parsing and chunking to avoid semantic ambiguity. Temporary announcements range in length from hundreds to tens of thousands of words. Adjust chunking thresholds adaptively. Batch parsing large volumes of financial report documents consumes significant memory resources. Control concurrency and batch scale reasonably. Associated equipment paragraphs typically bind to business data. Retain context associations during chunking to avoid semantic breaks after splitting.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_STRUCTURE | Enabled | Specialized equipment financial reports contain numerous nested tables for production capacity and revenue data. Enabling this preserves complete row and column structures and avoids data extraction misalignment |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large individual annual reports or batches of temporary announcements takes a long time. This setting prevents premature timeout interruptions |
CHUNK_MAX_SIZE | 800–1200 characters | Parameterized paragraphs in specialized equipment financial reports include associated information such as models, unit prices, and production capacity. This range preserves semantic integrity |
UPLOAD_BATCH_MAX_SIZE | 20–30 documents per batch | Batch parsing of large volumes of financial report documents consumes significant memory resources. This range balances parsing efficiency and system load |
EMBEDDING_FIELD_PRESERVE | Retain unit fields | Parameters in specialized equipment financial reports must be bound to units such as ten thousand yuan/unit and hours to avoid semantic ambiguity |
PARSE_PDF_OCR_QUALITY | High-precision mode | Some scanned financial report PDFs require accurate extraction of details such as equipment models and technical parameters. High-precision OCR reduces recognition errors |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Scenario: When uploading more than 20 specialized equipment financial reports in batch in version 4.9.2, parsing interrupts mid-process, and restarting Docker does not restore parsing progress. Cause: The
UPLOAD_BATCH_MAX_SIZEparameter was not adjusted. The default batch threshold for this version is low, and exceeding the system load with a single upload batch causes memory overload and process termination. - Scenario: After uploading a single non-scanned specialized equipment financial report PDF, the dialog box indicates parsing is complete, but no valid equipment parameter content appears, and no error logs generate in the background. Cause: The
PARSE_TABLE_STRUCTUREconfiguration was not enabled, so nested table data in the financial report cannot be fully extracted. - Scenario: When calling the knowledge base API to add chunked content, retrieval of parameters such as equipment unit price and production capacity fails. Cause: The
EMBEDDING_FIELD_PRESERVEconfiguration was not set to retain unit fields, so key qualifying information such as ten thousand yuan/unit and hours was lost from split text.
How to confirm the configuration is correct
- Upload one scanned specialized equipment financial report PDF, verify that equipment models, production capacity tables and other details are fully extracted in the parsing result, and confirm that the
PARSE_PDF_OCR_QUALITYconfiguration matches the document type requirements. - Upload a batch of specialized equipment financial report documents, monitor system memory usage and parsing progress, and confirm that the single upload batch does not exceed the system load threshold.
- Call the knowledge base API to add chunked content, check that returned results include equipment parameters and corresponding units during retrieval, and confirm that the
EMBEDDING_FIELD_PRESERVEconfiguration is effective. - Check the background parsing logs to confirm that no timeout errors related to
PARSE_FILE_TIMEOUT_SECONDSare triggered, and verify the reasonableness of the timeout configuration.
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.