What the data for this category looks like
This category’s data mainly comes from enterprise contract management systems, compliance risk databases, law and regulation repositories, case management systems, and reporting platforms. The update frequency is monthly. Daily processed documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation results. Most documents mix structured fields and unstructured text, with some including stamped annotations, attachment links, and other information. There is no unified fixed format, so parsing must adapt to multiple types of files.
What constraints do these characteristics impose on document parsing and chunking
Monthly batch-updated data sources require support for batch file parsing and scheduling to avoid overloading single parsing tasks. The mixed structured and unstructured text feature of multiple document types requires the parsing step to adapt to both field extraction and free text splitting, to prevent breaking the associated logic of compliance information. Inconsistent document formats require flexible custom parsing rules to adapt to layout differences from different system exports. Some documents contain sensitive compliance information, so the parsing process must retain original annotations and associated nodes to avoid losing key compliance basis. Long-text legal opinions and review opinions require controlled chunk boundaries to prevent splitting from breaking complete legal argumentation logic.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale for This Setting |
|---|---|---|
chunkSize | 800–1200 characters | Most documents in this category are long-text legal files. This range balances semantic completeness and retrieval granularity, avoiding splitting that breaks the complete logic of legal clauses |
chunkSplitter | Split by paragraph + heading | Compliance documents often have clear hierarchical headings and paragraph logic. Splitting this way preserves document structure associations, facilitating subsequent compliance risk retrieval |
customPdfParse | Enabled | PDF documents in this category often contain non-standard layouts such as compliance forms and stamped annotations. Custom parsing can adapt to special formats and fully extract structured information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large legal opinions and case investigation report files have large sizes, requiring sufficient parsing time to complete full content extraction |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some batch compliance document packages have large individual file sizes, requiring adaptation to batch upload file size limits |
chunkSettingMode | Custom mode | Documents in this category have large format differences. Custom mode allows flexible adjustment of chunking rules to adapt to different types of compliance documents |
Three common mistakes
- Phenomenon: After uploading a Word document, image links in the parsing result do not carry a preset domain name, and cannot be loaded normally in conversations. Cause: The image path replacement rule in custom parsing is not enabled, only local relative paths are retained.
- Phenomenon: Timeout errors occur when parsing large compliance reports, and the page returns a connection interruption prompt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too small, not adapting to the parsing time of long documents. - Phenomenon: Only plain text content is extracted when parsing PDF form documents, and structured fields in the form cannot be recognized. Cause: The
customPdfParseconfiguration is not enabled, and the default general parsing cannot adapt to the special layout of compliance forms.
How to confirm configurations are correctly set
- Upload a single typical document, such as a contract legal review opinion, and check whether the text integrity and structural hierarchy of the parsing result meet expectations.
- Upload a mixed-format document package, and verify the success rate of batch parsing and the adaptation effect of each type of file.
- Adjust chunking parameters, retrieve key compliance clauses in the test document, and confirm that the semantic relevance of the retrieval results meets requirements.
- Upload a document exceeding conventional size, and verify that the parsing timeout configuration takes effect without abnormal errors.
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.