What the Data for This Category Looks Like
Documents related to internal office and employee services for state-owned capital operation companies originate from five main sources: state-owned asset supervision compliance documents issued by group headquarters, operation ledgers submitted by subsidiary companies, internal office approval process documents, employee compensation and welfare manuals, and training courseware. Update frequency varies by document type: state-owned asset supervision documents are updated irregularly alongside policy changes, subsidiary operation ledgers are updated with monthly submissions, internal systems are revised annually, and employee manuals are updated quarterly. Document structures include fixed format fields. Examples include document numbers, issuing units, and effective dates for red-headed official documents; project numbers, amounts, and cycles for operation ledgers. Common units are ten thousand yuan, person-times, and calendar days.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Link
The long text and nested chapter structure of state-owned asset supervision documents require chunking operations to retain contextual connections, and avoid splitting key compliance clauses. Operation ledgers submitted by subsidiaries include structured fields and numerical values, so chunking must retain the binding relationship between fields and their corresponding values to prevent data association breaks. Process node and approver information in internal approval documents must not be split across nodes during chunking, otherwise process logic will be incomplete. Frequently updated employee manuals and system documents require parameter configurations adapted for fast parsing, to ensure parsing efficiency and content accuracy.
How to Configure the Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the long text of state-owned asset documents and the field association of operation ledgers, avoids splitting key compliance clauses and structured data |
chunkSplitter | Split by title and paragraph boundaries | Matches the chapter structure of state-owned asset documents and the process nodes of approval documents, retains logical integrity |
customPdfParse | Enabled | Adapts to the header, footer, and document number formats of red-headed official documents, accurately extracts core text content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of large-volume operation ledgers, adapts to scenarios where multiple documents submitted by subsidiaries are merged |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets the parsing time requirements for long-text state-owned asset documents and multiple ledger documents |
chunkSettingMode | Manual configuration | Adjusts chunking parameters for different document types (compliance documents, ledgers, approval documents) to adapt to specific scenarios |
Three Common Configuration Errors
- Phenomenon: After uploading a Word-format compliance document, the parsing result does not include the text description of embedded images. Cause: The image OCR parsing configuration for Word documents is not enabled, and only plain text content is extracted.
- Phenomenon: When batch uploading subsidiary operation ledgers, some documents fail to parse due to timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is too low, and does not adapt to the parsing time of long ledger documents. - Phenomenon: Search results after chunking show split compliance clauses across chapters, leading to incoherent logic. Cause:
chunkSplitteris configured to split by fixed character count, and does not match the title boundaries of the document.
How to Verify the Configuration Is Correct
- Upload a typical red-headed official state-owned asset document, check whether the parsing result retains key information such as document number, issuing unit, and effective date.
- Upload a single operation ledger document, verify that the chunking result retains the binding relationship between project numbers and their corresponding amounts.
- Adjust the
chunkSizeparameter, then upload a long-text document, confirm that core compliance clauses are not split during chunking. - Upload batch documents, check whether the parsing time falls within the range set by
PARSE_FILE_TIMEOUT_SECONDS.
The values provided are common starting points and should be evaluated against applicable samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.