Reference only; verify against the target FastGPT release and deployment documentation.
What data in this category looks like
Data in this category mainly comes from health supervision information systems, medical institution electronic registration systems, complaint reporting platforms, and law enforcement inspection records. Documents processed daily include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Most documents are structured forms or standard documents, containing fields such as institution name, licensed qualifications, rectification requirements, and penalty content. The update frequency is monthly. Data needs to match associated information such as institution qualifications, on-site inspection results, and rectification tracking.
What constraints do these characteristics impose on the document parsing and chunking link
Documents in this category are mostly standardized structured forms and associated documents. When chunking, field association must be preserved to avoid splitting cross-page form content. Monthly batch-updated data requires support for batch parsing and avoidance of duplicate chunking, to adapt to the rhythm of regularly updated regulatory data. Documents such as practice licenses and penalty case files contain unique identifier fields. When chunking, key identifiers must be accurately extracted to prevent loss of core information used for association matching. Law enforcement inspection records and rectification notices have strong contextual association. When chunking, cross-document contextual cohesion must be preserved to ensure subsequent business guidance can fully match the full set of regulatory information for the institution.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field and paragraph length of standard documents in this category, avoiding splitting critical form information |
chunkSplitter | By paragraph + fixed character boundary | Adapts to the layout of structured forms and standard documents, preserving field integrity |
customPdfParse | Enable structured parsing mode | Accurately extract key identifier fields from documents such as practice licenses and penalty case files |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to monthly regulatory document packages imported in batches, meeting single-batch data import requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of long documents such as penalty case files, avoiding timeout interruptions |
chunkSettingMode | Manual configuration | Adjust chunking rules for standard documents in this category, adapting to the contextual needs of associated documents |
Three common mistakes
- Phenomenon: An unsupported file type prompt appears in the interface when uploading Excel format files, or fields are empty after parsing. Cause: Custom file parsing rules are not configured. FastGPT’s default CSV support only allows two columns of data, and no adaptation is made for Excel multi-field forms.
- Phenomenon: Chunked content after parsing loses key identifiers, such as medical institution practice license numbers. Cause:
chunkSizeis set too small, splitting the cross-page license number and institution name into different chunks, destroying field association. - Phenomenon: Connection failure errors occur when deploying a local marker-pdf service, and the log shows 127.0.0.1:xxxx connection refused. Cause: Ports are not correctly mapped in the Docker container, or the marker-pdf service is not started, causing FastGPT to fail to call the parsing interface.
How to confirm the configuration is correct
- Upload a single medical institution practice license document, check if the parsed chunks contain complete license number and institution name fields.
- Upload a batch of Excel-format supervision inspection forms, confirm that all column fields are correctly extracted after parsing, with no empty fields or omissions.
- Start a long document parsing task, such as a penalty case file, confirm that the parsing duration does not exceed 600 seconds, with no timeout errors.
- View the configuration panel, confirm that the parameters
customPdfParseandchunkSettingModematch the preset rules.
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.