What the data for this use case looks like
Rural commercial bank investment research data primarily comes from local financial regulatory documents, in-house credit operation ledgers, local agricultural and small micro-enterprise industry research materials, and regional economic data released by local central bank branches. Update frequencies include irregular intervals for regulatory policy documents, daily synchronization for credit ledgers, and monthly or quarterly updates for regional economic data. Document types include multi-column structured credit reports, long-text policy interpretations, and industry analysis reports with embedded charts. Common fields include subject name, credit limit, approval cycle, guarantee type, and industry classification. Common units include ten thousand yuan, natural days, and person-times.
What constraints do these characteristics impose on document parsing and chunking?
High proportions of multi-column structured reports require parsing modules to accurately identify multi-column layouts, and avoid table content misalignment or merging. Documents with embedded images require parsing workflows to retain the association between images and main text, and avoid separating key chart information from surrounding context. Daily batch updates of credit ledgers require parsing to support batch task scheduling, and adapt single-file parsing duration to small and medium-sized documents. Long-text policy interpretations require retaining contextual association during chunking, and avoid splitting key policy clauses. The presence of regional exclusive terms requires parsing modules to support custom term loading, and improve recognition accuracy.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_MULTICOLUMN_TABLE | Enabled | Multi-column structured reports account for a high proportion in rural commercial bank investment research documents. Enabling this setting accurately restores table column structures |
MAX_SEGMENT_LENGTH | 800–1000 characters | Adapts to policy interpretation and credit ledger content of rural commercial bank investment research documents. This length retains contextual association and avoids splitting key information |
PARSE_IMAGE_CONTENT_ENABLE | Enabled | Some documents include industry distribution maps and credit flow maps. Enabling this setting extracts valid information embedded in images |
UPLOAD_FILE_MAX_SIZE | 50 MB | Covers the size requirements of most single documents for rural commercial bank investment research, and avoids upload failures |
PARSE_BATCH_MAX_COUNT | First 10 | Adapts to the scale of daily batch-updated credit ledgers, and balances parsing efficiency and system resource usage |
TERM_DICTIONARY_CUSTOM | Import local rural commercial bank investment research exclusive terms | Addresses regional exclusive terms in documents, and improves the accuracy of parsing and recognition |
The parameter values provided on this page are common starting points for configuration setup. Actual values will vary based on material format, data volume, and business rules. Individual cases require targeted analysis. Testing against local samples is recommended before finalizing settings.
Three common misconfigurations
- Symptom: Parsed multi-column tables show column misalignment or content merging, and cannot restore the original layout. Cause: The
PARSE_MULTICOLUMN_TABLEconfiguration is not enabled. The default parsing logic only supports single-column table structures. - Symptom: Parsed results do not include text descriptions of images, or images are separated from the main text. Cause: The
PARSE_IMAGE_CONTENT_ENABLEconfiguration is not enabled, or is incorrectly set to extract only plain text and ignore image information. - Symptom: Batch parsing tasks return a
408 Request Timeoutstatus code, and some documents fail to parse. Cause: Single-file parsing duration exceeds the configuredPARSE_FILE_TIMEOUT_SECONDSvalue, or the batch task count is set too high and exceeds system resource limits.
How to verify correct configuration
- Upload a credit report document with multi-column tables, and confirm that the number of columns in the parsed table matches the original document.
- Upload an industry analysis report with embedded images, and confirm that the parsed results include text descriptions matching the content of the original images.
- Submit a batch parsing task, and confirm that the task execution status has no timeout errors, and the number of parsed results matches the number of uploaded files.
- Check the import log of the custom term dictionary, and confirm that exclusive investment research terms have been successfully loaded.
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.