What data for this category looks like
This category of data primarily comes from enterprise contract management systems, compliance risk databases, legal and regulatory repositories, case management systems, and reporting platforms. Processed daily documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation results.
Data is updated monthly. Single documents often contain structured fields such as risk entries, review opinions, and processing conclusions. Some documents include attached scanned files or structured form content.
How these characteristics impose constraints on document parsing and chunking
Batch documents updated monthly create a need for parallel processing, so configurations supporting simultaneous parsing of multiple files must be used.
Compliance documents include structured review opinions and unstructured investigation content. Some compliance review forms are structured, while others are free-text investigation reports. Mixed-format chunking logic must be supported.
Documents from multiple systems have inconsistent formats. Custom parsing rules must be supported to adapt to forms and opinions from different sources.
Violation report investigation results contain clear risk conclusions and associated clues. Chunking must retain key contextual associations to avoid losing the link between risks and conclusions after splitting.
Additionally, processing results for legal compliance documents are directly linked to operational compliance risks. Chunking logic must avoid damaging the integrity and relevance of information.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Fits the structured paragraph length of compliance opinions and investigation reports, retaining complete association between risk descriptions and conclusions |
chunkSplitter | By paragraph + semantic boundary | Adapts to mixed-format compliance documents, avoiding splitting review opinions from corresponding risk entries |
customPdfParse | Enabled | Adapts to structured PDF forms from compliance systems, retaining original layout and association of form fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to time requirements for parsing single large compliance review forms or batch processing multiple files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch import of multiple compliance documents updated monthly |
chunkSettingMode | Manual configuration | Adapts to format differences of documents from different sources, allowing separate adjustment of chunking rules for contract review opinions and report investigation results |
Three common mistakes
- Parsed output returns only plain text without formatting, making it impossible to restore the clause hierarchy of compliance documents. This occurs because the
customPdfParseconfiguration is not enabled, and PDF form and layout structures are not retained. - Parsing timeouts occur when batch uploading multiple monthly documents. This occurs because the value of
PARSE_FILE_TIMEOUT_SECONDSis set too low, failing to adapt to the total parsing time of batch documents. - After enabling parent-child chunking, risk entries and corresponding review opinions are split into different chunks. This occurs because associated fields of compliance documents are not bound, causing the chunking logic to fail to recognize the correspondence between information.
How to confirm the configuration is correct
- Upload a single compliance review form, check if the parsed chunks retain the correspondence between risk entries and review opinions.
- Batch upload multiple documents updated monthly, confirm that parsing tasks can execute in parallel without abnormal interruptions.
- View parsing logs, confirm that no timeout errors related to
PARSE_FILE_TIMEOUT_SECONDSare triggered. - Extract single chunk content, verify that structured form fields are not incorrectly split or omitted.
The values provided are common starting points and should be measured against the reader's own 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.