What this category of data consists of
Data for this category mainly comes from government information disclosure platforms, official agency archive systems, document management systems, departmental business ledgers, and relevant specifications. Commonly processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, response letters, delivery receipts, administrative reconsideration response materials, and similar items. These documents are managed by entities such as government offices, departmental government disclosure offices, legal affairs divisions, and archives. Data updates have no fixed cycle. Most documents contain core fields including applicant information, application items, response content, relief channels, and similar content.
What constraints do these characteristics impose on the document parsing and chunking link
The characteristics of this category of documents impose multiple constraints on the parsing and chunking link. First, commonly processed documents contain multi-column tables, embedded images, and official document formats. Parsing and chunking workflows must support multi-column content splitting and image text extraction. Second, data sources include existing archives and real-time documents. Parsing and chunking must support multiple input formats such as scanned files and native PDFs. Third, a single document may include independent business modules such as applicant information, application items, and response content. Chunking must retain business logical connections and avoid splitting critical information. Fourth, business handling has strict time requirements. Parsing workflows must remain stable and non-timeout, otherwise they will disrupt subsequent processing workflows.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the typical length of business text in documents, balances contextual association and retrieval granularity |
chunkSplitter | Split by headings and paragraphs | Matches the structure of documents divided by business modules, retains complete semantic association |
customPdfParse | Enabled | Supports parsing official documents with embedded images or scanned file formats, extracts text content from images |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of multi-page archived documents, avoids interrupting processing workflows due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading and parsing large scanned document files in existing archives |
Three Common Errors
- Phenomenon: After uploading a PDF document with embedded images, the parsing result only contains text content and does not extract image-related information. Cause: The
customPdfParseconfiguration is not enabled, and the image text extraction function is not activated. - Phenomenon: After parsing a government information disclosure application form with a multi-column layout, the content is misplaced or merged, and business fields in different columns cannot be distinguished. Cause: No chunking rules adapted to multi-column layouts are configured, and the default chunking logic cannot recognize structural differences in multi-column documents.
- Phenomenon: A timeout error with status code 504 occurs when parsing large archived documents. Cause: The value of
PARSE_FILE_TIMEOUT_SECONDSis set too low, and sufficient parsing duration is not reserved.
How to Verify Proper Configuration
- Upload a test PDF document with embedded images. Check whether the parsing result includes the text content corresponding to the images, to confirm that the
customPdfParseconfiguration is effective. - Upload a government information disclosure application form document with a multi-column layout. Check whether the parsed text is split by column, to confirm that the chunking rules are adapted to the multi-column structure.
- Upload the largest-sized document handled daily. Wait for the parsing to complete and check whether a timeout error occurs, to confirm that the value of
PARSE_FILE_TIMEOUT_SECONDSmeets actual needs. - Check the uploaded file size limit. Confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration covers the maximum daily document size.
The values provided here 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.