What the data for this category looks like
Daily documents for this category include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation reports. Data sources are enterprise contract management systems, compliance risk databases, law and regulation libraries, case management systems, and reporting platforms. The update frequency is monthly. Most documents contain structured fields and specialized legal language. Compliance review forms have fixed fields such as review subject, risk points, and handling opinions. Violation report investigation reports include investigation processes and conclusions. The overall structure has clear hierarchies but dense professional terminology.
What constraints these characteristics impose on the document parsing and chunking link
The monthly update frequency requires the parsing process to have stable batch processing capabilities, without the need for real-time response. Data from multiple sources has significant format differences, including both structured table documents and long-form unstructured legal texts. Chunking needs to maintain the integrity of both formats. The dense professional terminology requires that chunking does not break legal logical connections, otherwise subsequent compliance risk identification will be affected. The consequences of errors include major legal disputes and asset losses, so the parsing and chunking links must ensure that key fields are not lost and logic is not broken.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Compliance documents often have long sentences and specialized legal language. This value range avoids splitting that breaks complete legal opinion paragraphs |
chunkSplitter | Split by paragraph + title | Compliance documents have clear chapter titles and paragraph structures. Splitting this way preserves contextual logical connections |
customPdfParse | Enable structured extraction | Compliance review forms and violation report investigation reports mostly contain structured tables. Enabling this allows complete extraction of field information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large legal opinions or multi-page compliance reports takes a long time. This duration prevents mid-process parsing interruptions |
chunkSettingMode | Manual configuration | Adapts to the chunking needs of different types of compliance documents, avoiding automatic mode splitting of key logical nodes |
Three common configuration mistakes
- No response from the parsing node after uploading compliance-related files. The cause is that
customPdfParseis not enabled, so structured tables and specialized formatting in compliance documents cannot be recognized. - Only partial fields are obtained when fetching data from the compliance database. The cause is that
chunkSizeis set too small, splitting text blocks containing complete review opinions and leading to loss of key information. - Logical breaks appear in chunked legal opinions after parsing. The cause is that
chunkSplitteris not configured to split by title, and direct character-based splitting breaks chapter connections.
How to confirm the configuration is complete
- Upload a typical compliance review form, and check if the parsing result retains all fields and complete table structure.
- Adjust the
chunkSizevalue, compare chunking results under different configurations, and confirm that paragraphs containing complete legal opinions are not split. - Run a parsing test for a large legal opinion, and confirm that the
PARSE_FILE_TIMEOUT_SECONDStimeout limit is not triggered. - View the parsing logs in FastGPT v4.17.0, and confirm that the title hierarchy and chapter connections of the document are retained during the chunking process.
The values provided are common starting points and should be evaluated against the samples relevant to the specific use case.
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.