What this category of data looks like
This category of data comes from administrative law enforcement case handling systems, law enforcement recorder footage, the national enterprise credit information publicity system, and departmental supervision databases. The update frequency is daily. Commonly processed documents include on-site inspection records, interrogation transcripts, evidence lists, prior administrative penalty notification letters, hearing notification letters, penalty decisions, service receipts, and more. Most documents are structured text, with some containing handwritten annotations or scanned images. Common fields include law enforcement subject, illegal facts, penalty basis, discretion standards, service recipients, and others. There is no unified fixed unit prefix, so identification requires combining document context.
What constraints do these characteristics impose on the "document parsing and chunking" link
Law enforcement documents contain structured text and scanned images. Parsing and chunking workflows must support both text parsing and image OCR. Wide variations in document formats make unified chunk boundaries difficult to achieve. High-frequency daily updates require efficient parsing and chunking processes to avoid backlogs. Fields in law enforcement documents have strong correlations. For example, illegal facts and penalty basis must remain semantically bound. Chunking must not split these critical related content. Some documents contain colloquial text transcribed from law enforcement recorders. Chunking must avoid breaking semantic integrity. Workflows must also adapt to single documents of varying lengths, preventing single chunks from becoming overloaded and harming subsequent retrieval.
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 | Ensures semantic integrity for individual law enforcement documents, avoids splitting critical penalty basis or illegal fact paragraphs |
chunkSplitter | By paragraph + semantic boundary | Matches the structured paragraph structure of law enforcement documents, ensures chunking does not split complete semantic units of transcripts, notification letters, and similar documents |
customPdfParse | Enabled | Supports OCR parsing for scanned law enforcement documents, restores complete content of handwritten annotations and printed text |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates batch uploads of multiple documents in a single law enforcement case, prevents upload failures due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Matches parsing time for long documents and scanned images in law enforcement documents, prevents parsing interruptions due to timeout |
chunkSettingMode | Manual mode | Allows adjustment of chunking parameters for different types of law enforcement documents, adapts to differences between on-site inspection records and penalty decisions |
Three common mistakes
- Unable to retrieve indexed content for a specified chunk when calling the API: The root cause is failing to correctly configure
chunkSettingModeas manual mode, and failing to generate a standardized chunk index mapping. - Parsing timeout after uploading a law enforcement case package: The root cause is failing to adjust
PARSE_FILE_TIMEOUT_SECONDSto above 600 seconds, which prevents completion of parsing for long documents containing transcribed law enforcement recorder footage. - Front-end copy prompt shows copy failed, requiring manual operation: The root cause is failing to adapt to the browser same-origin policy, with copy logic bound to DOM nodes from non-same-origin pages. Switching to PDF download can replace the copy function.
How to confirm the configuration is correct
- Upload a standard penalty decision document. Review the parsed chunk list, confirm that each chunk has complete semantics, and that penalty basis and illegal fact content are not split.
- Call the document parsing API, check if the returned results include standardized chunk index fields, confirm that the API can normally retrieve specified chunk content.
- Upload a packaged law enforcement case file of 800 MB, confirm that the upload and parsing processes have no timeout or failure errors.
- After enabling the
customPdfParseconfiguration, upload a scanned on-site inspection record, confirm that the parsed results include complete handwritten annotations and printed text content.
The values listed here are common starting points, and should be evaluated against the user'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.