What the data for this category looks like
The data for this category comes from enterprise contract management systems, compliance risk databases, law and regulation repositories, case management systems, and reporting platforms. The update frequency is once per month. Commonly processed documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation results. Some documents are structured tables with clear compliance items and risk level fields. Others are formal long-text documents without a fixed unified format, with content focused on the legality and compliance of business operations.
What constraints these characteristics impose on the "document parsing and chunking" link
Since data sources include multiple internal enterprise systems, document formats are mixed. There are both structured compliance review forms and unformatted legal opinions. The parsing link must support both structured extraction and long-text splitting logic. The monthly batch update volume of documents is large, so a reasonable timeout threshold must be set for the parsing link to avoid task interruptions. The accuracy of compliance document content is directly linked to operational risks. When chunking, the contextual integrity of key compliance clauses and risk descriptions must be retained to avoid fragmentation that affects the accuracy of subsequent Q&A.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Fits both long-text and structured content of compliance documents, avoiding breaking the complete meaning of legal clauses or risk descriptions |
chunkSplitter | Split by paragraph + title | Retains the hierarchical structure of documents, aligns with the logical coherence of compliance documents |
customPdfParse | Enable structured parsing | Fits documents with tables such as compliance review forms, accurately extracts compliance field information within tables |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading of multiple compliance documents updated monthly, prevents upload failures caused by overly large single files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Fits the parsing time required for long-text legal opinions, prevents task interruptions due to timeout |
chunkSettingMode | Manual configuration | Flexibly adjusts chunking parameters for different types of compliance documents to meet diverse parsing needs |
Three common mistakes
- Phenomenon: After uploading compliance documents, the interface shows parsing timeout and the task status is failed. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue was not adjusted to fit long-text documents, causing the parsing task to be interrupted before completion. - Phenomenon: A plain-text policy consultation query triggers the document parsing process instead of directly entering the Q&A link. Cause: The chunking trigger rule was configured incorrectly, including non-document inputs in the parsing scope.
- Phenomenon: When importing an Excel file containing a compliance review form, some table fields are not extracted correctly. Cause: Structured table parsing configuration was not enabled, so the format of compliance fields within Excel cannot be recognized.
How to confirm the configuration is correct
- Upload a typical compliance review form Excel file, check whether the parsed text completely extracts fields such as compliance items and risk levels within the table.
- Upload a long-form major issue legal opinion PDF, check whether the parsed chunks retain the original paragraph and title hierarchy, with no instances of key clauses being fragmented.
- View the parsing task logs, confirm that the parsing time for a single file does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold. - Test a plain-text policy consultation query, confirm that the document parsing process is not triggered and the Q&A link is entered directly.
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.