What data looks like for this category
The typical users of this category are judicial administrative departments, departmental legal affairs offices, and policy and legal affairs positions in government offices. Daily processed documents include regulatory document drafts, drafting explanatory notes, legality review opinions, solicited comment summaries, and filing reports. Data sources include regulatory and rule databases, higher-level law databases, departmental policy document databases, and administrative regulatory document filing systems. Update frequency is irregular. Most documents follow formal official document formats, with fixed fields such as clause numbers, legal citations, department seals, and no custom business unit fields.
What constraints do these characteristics impose on the "document parsing and chunking" link
This article adapts to FastGPT v4.17.0's document parsing and chunking functions. The document characteristics of this category impose multiple constraints on the parsing and chunking process. First, data sources include structured documents from official databases and locally uploaded files of various formats. It is necessary to support non-standard formats such as scanned PDFs and Excel tables, to avoid legality review comparison errors caused by incomplete parsing. Second, documents must retain the contextual association of legal citations and chapter structures. Chunking must not split clauses from their corresponding explanations, as this will affect the logical integrity during review. Third, irregularly updated documents mean the parsing process must adapt to different versions of file formats, requiring flexible adjustment of chunking rules to cover all official document scenarios. Fourth, some documents contain large amounts of tabular data, so correct table structure recognition is needed to avoid splitting that causes indexed content to not match the original data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Regulatory documents mostly include legal provisions and supporting explanations. This length can retain the complete context of a single review logic, and avoid splitting key clauses |
chunkSplitter | By chapter + semantic splitting | Documents have fixed chapter structures. Splitting by chapter can retain the complete association of review items, and fits the one-by-one review requirements of legality reviews |
customPdfParse | Enable enhanced parsing mode | Some uploaded files are scanned PDFs. Enhanced parsing can extract text content, and avoid review omissions caused by incomplete recognition |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Regulatory documents may include multi-page attachments and reference materials. This upper limit can cover the size requirements of conventional review documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large compliance documents take a long time to parse. This duration can avoid interrupting the parsing process due to timeout |
chunkSettingMode | Manual configuration mode | It is necessary to adjust chunking parameters for documents from different sources, to adapt to format differences between regulatory databases and locally uploaded files |
Three common mistakes
- Phenomenon: After uploading a scanned PDF document, the parsed result has incomplete text recognition or is empty. Reason: The
customPdfParseenhanced parsing mode is not enabled, so image-based text content in scanned format cannot be recognized. - Phenomenon: After uploading an Excel-format review auxiliary file, the vectorized index result does not match the original table content. Reason: No chunking rules adapted for tables are configured, so table content is incorrectly split, making it impossible to match complete data entries during review.
- Phenomenon: A timeout error is triggered when parsing a regulatory document with more than 50 pages. Reason: The value of
PARSE_FILE_TIMEOUT_SECONDSis too low, and insufficient parsing time is reserved.
How to confirm the configuration is correct
- Upload a test scanned PDF document, check if the parsed result contains complete text content, and confirm that the
customPdfParseconfiguration is effective. - Upload test files of different formats, check if the chunking results retain the complete association between chapters and legal citations, and confirm that the
chunkSplitterandchunkSizeconfigurations meet requirements. - Upload a test file of the maximum allowed size, confirm that the upload and parsing process does not trigger restrictions from
UPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDS. - View the parsing logs, confirm that no key fields are missing from the chunked content, and that it meets the comparison requirements for legality reviews.
The values listed here are common starting points, and should be evaluated 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.