What data for this category looks like
Data typically originates from urban management law enforcement platforms, urban operation grid platforms, video surveillance, and public complaint work orders, with a daily update frequency. Daily documents include inspection records, case filing approval forms, on-site photos, rectification orders, penalty decisions, and case closure reports. Most document structures include fields such as time, location, description of illegal circumstances, responsible parties, rectification requirements, and some documents are accompanied by multimedia attachments.
What constraints do these characteristics impose on the document parsing and chunking link
Daily batch-updated law enforcement documents require the parsing process to adapt to high-frequency batch tasks. Mixed document types (text records, on-site photos, penalty documents) require parsing logic compatible with different formats. Law enforcement case documents have strong field correlations, so chunking must avoid splitting key law enforcement logic and rectification requirements. Parsing multimedia attachments takes a long time, so reasonable timeout thresholds must be set. For the party building learning Q&A scenario, core fragments related to policy learning and law enforcement specifications in documents must be retained, and chunk length must adapt to the context length required for subsequent Q&A calls.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of paragraphs and law enforcement logic units in law enforcement documents, avoiding splitting core related content such as case filing and rectification |
chunkSplitter | Split by paragraph + title | Matches the structured layout of law enforcement documents, retaining the association between titles and paragraphs of documents such as inspection records and penalty decisions |
customPdfParse | Enabled | Adapts to the parsing needs of multi-column layouts and embedded attachments in law enforcement documents, improving text extraction accuracy |
UPLOAD_FILE_MAX_SIZE | 500 MB | Compatible with batch-uploaded law enforcement case packages in a single batch, preventing parsing failures due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the time required for batch parsing of on-site photos and OCR of long documents, preventing mid-task interruptions |
chunkSettingMode | Manual configuration | Adapts to the party building learning Q&A scenario, allowing adjustment of chunking parameters for law enforcement specification documents |
Three common mistakes
- Phenomenon: After uploading PDFs or images of law enforcement case files, the data processing section shows empty content, and no results are returned during search tests. Cause: The
customPdfParseconfiguration is not enabled, or theUPLOAD_FILE_MAX_SIZEsetting is too low, causing parsing failures for large files or documents with multiple attachments. - Phenomenon: After batch uploading daily updated inspection records, some tasks time out without completion. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting is too short, failing to cover the time required for on-site photo OCR or long document parsing. - Phenomenon: Context fragmentation occurs during Q&A calls, with law enforcement logic-related content split into different chunks. Cause: The
chunkSizesetting is too large or too small, not matching the paragraph length of law enforcement documents, or thechunkSplitteris not set to split by paragraph, leading to cutting of core related content.
How to confirm the configuration is properly set
- Upload a single typical law enforcement document (such as a penalty decision), and check whether all fields are fully extracted in the parsed text content.
- Batch upload multiple different types of law enforcement documents, and verify whether parsing tasks complete normally.
- Adjust the
chunkSizeparameter, and check whether the chunking results retain core law enforcement logic fragments. - Test uploading large files, and confirm that parsing tasks are not blocked due to size restrictions.
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.