What Data for This Use Case Looks Like
Data sources for integrated services financial report analysis include publicly disclosed periodic reports of listed companies, announcements of listed companies, and internal enterprise management reports provided by cooperating institutions. Updates follow quarterly and annual periodic schedules, with temporary announcements released as needed. Document structures contain standardized financial subject tables and non-standardized supplementary notes. Fields include subject names, end-of-period balances, prior-year comparative figures, and more. Units mostly use RMB yuan or ten thousand yuan. Some internal reports include custom auxiliary statistical fields.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
Publicly disclosed financial reports exist in both editable document and scanned file formats. The parsing process must support both text extraction and OCR workflows. Temporary announcements have non-fixed update schedules. This requires the parsing link to support incremental synchronization and resumable uploads. Standardized financial tables and non-standardized supplementary notes coexist. During chunking, the association between fields within tables must be preserved. Avoid splitting that disconnects subjects and their corresponding values. The diversity of custom auxiliary fields requires parsing rules to have flexible adaptation capabilities. Fixed templates cannot cover all scenarios. Long documents have large chapter spans. Chunk length must balance contextual coherence. Prevent splitting that breaks the complete logic of financial indicators.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_mode | auto | Adapts to scenarios with mixed editable documents and scanned files, automatically switches between text extraction and OCR workflows |
chunk_size | 800–1200 characters | Matches the average length of single financial logic in financial reports, balances retrieval accuracy and contextual integrity |
chunk_overlap | 100–150 characters | Prevents cross-chunk financial indicators from being split, retains associated information between adjacent chunks |
ocr_language | chi_sim+eng | Adapts to scenarios where financial reports mix Chinese subjects, English currency units and professional terminology |
enable_incremental_parse | true | Adapts to the non-fixed update schedule of temporary announcements, reduces repeated parsing overhead |
parse_max_pages | 500 pages | Covers the page count range of most annual financial reports, prevents parsing failures for ultra-long documents |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis. It is recommended to conduct testing on internal test samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Chinese garbled characters appear after parsing scanned financial reports, and the log returns the
OCR_ENGINE_ERRORstatus code. Cause: Theocr_languageis not configured for Chinese mixed mode, and only the English recognition engine is enabled. - Symptom: After importing Excel-format financial tables, the knowledge base displays the full content, but the table structure is lost during retrieval output. Cause: The chunking configuration does not enable table structure retention rules, and the default behavior converts tables to plain text for chunking.
- Symptom: In the chunked content returned by retrieval, matching results for auxiliary statistical fields appear before core financial indicators. Cause: No association weight is set for core subject paragraphs during chunking, or the retrieval configuration does not adjust field priority.
How to Verify Correct Configuration
- Upload a single-page scanned financial report, check if the Chinese text in the parsing result is complete, to verify if the
ocr_languageconfiguration takes effect. - Upload a complete annual financial report PDF, check if the chunked result retains the structure of financial tables, to verify if the
chunk_sizeand table structure retention configuration are matched. - Upload a temporary announcement document, compare the parsing task status before and after upload, to verify if the incremental parsing configuration triggers normally.
- Construct test text containing core subjects and auxiliary fields, check the result ranking after retrieval, to verify if the chunking weight configuration meets business requirements.
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.