What data for this category looks like
Data for diversified financial sector financial reports primarily comes from public disclosures of non-bank financial institutions’ annual and quarterly reports on exchanges. Quarterly reports are disclosed within one month after the end of each quarter, and annual reports are disclosed within four months after the end of each year. Most documents are in PDF or DOCX format, and include consolidated balance sheets, income statements, cash flow statements, plus numerous nested footnote tables. Professional fields cover entrusted asset scale, net management fee revenue, non-performing finance lease rate, and other specialized metrics. Units include yuan, ten thousand yuan, and hundred million yuan. Some footnotes display detailed line item information across multiple pages.
What constraints these characteristics impose on document parsing and chunking
These characteristics create multiple constraints for document parsing and chunking. A single financial report can be 10–15 MB in size, leading to long parsing times that exceed standard timeout thresholds. Nested footnote tables have multiple layers, and standard chunking can break line item associations. Field units are mixed, so context must be retained to correctly match line items and their units. Quarterly reporting seasons require batch processing of dozens of documents, which creates clear resource requirements for concurrent parsing. Cross-page footnote content must retain context coherence to avoid semantic breaks after splitting.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Diversified financial sector financial reports are large and have complex nesting. 900 seconds covers parsing for most reports under 15 MB, and avoids timeout errors |
UPLOAD_FILE_MAX_SIZE | 15 MB | Most single PDF files of diversified financial sector financial reports fall within the 10–15 MB range. This threshold adapts to most single-document parsing needs |
maxChunkSize | 800–1200 characters | Financial report footnotes contain long sentences and specialized terminology. 800–1200 characters retains complete line item explanations and associated information, avoiding semantic breaks from improper splitting |
chunkOverlap | 150–200 characters | Nested tables and cross-page footnote content require contextual association. Overlapping characters retains semantic coherence across chunks |
PARSE_TABLE_MODE | detailed | Nested tables in diversified financial sector financial reports require retention of cell hierarchy. The detailed mode fully parses nested structures and avoids table content loss |
ENABLE_GPU_PARSE | Enabled, ensure CUDA version ≥11.7 | GPU acceleration greatly shortens long document parsing times, adapting to efficiency needs for batch parsing. Older CUDA versions cause GPU recognition failures or video memory overflow errors |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Uploading PDFs larger than 10 MB results in
timeout of 360000ms exceedederrors. The cause is failure to adjust thePARSE_FILE_TIMEOUT_SECONDSparameter, still using the default 600-second timeout threshold that cannot cover long document parsing times. - Individual DOCX documents fail to parse. The cause is failure to enable
ENABLE_GPU_PARSEand insufficient server CPU resources, leading to the parsing process being forcibly terminated by the system. - Some tables cannot be chunked correctly. The cause is using the
simpletable parsing mode, which does not retain nested layers, leading to split loss of financial report line item information across cells. This issue is common in FastGPT 4.9.6.
How to confirm configurations are set correctly
- Upload a single diversified financial sector financial report PDF of around 12 MB, check if the parsing task completes within the preset timeout period with no timeout errors.
- Parse a financial report document containing nested tables, verify that the table hierarchy in the parsing result matches the original document, with no cell content loss.
- Check the chunked text fragments, confirm that professional terms and units are not split into different chunks, with coherent and complete semantics.
- Batch upload three or more documents of the same type, confirm that concurrent parsing has no memory overflow or process crash errors.
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.