What this category of data looks like
Sources include original survey records generated throughout the project lifecycle, construction drawing documents, change negotiation files, and internal office approval forms. Updates are triggered on demand as projects progress, and archives are no longer frequently modified after project completion. Document structures include standardized forms with fixed formats, long-text manuals with hierarchical headings, and scattered meeting minutes. Fields include project numbers, survey point coordinates, material performance parameters, and approval document numbers. Units involve professional engineering units such as length, pressure, and working hours.
What constraints do these characteristics impose on document parsing and chunking?
Fixed structures of standardized survey forms and design manuals require that chunking does not destroy field associations and hierarchical logic, avoiding splitting cross-point survey parameters or cross-chapter design descriptions. Scattered meeting minutes have inconsistent formats, requiring adaptive unstructured parsing to preserve content integrity. A single project document may contain attachments of multiple formats, so parsing must support mixed-format input. Hierarchical headings in long-text design manuals can be used as chunking criteria, and corresponding splitting rules must be matched to preserve contextual associations.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of professional parameters in survey and design documents, avoiding splitting cross-point survey data chunks |
chunkSplitter | Split by heading + paragraph | Matches the hierarchical heading structure of design manuals, preserving chapter contextual associations |
customPdfParse | Enabled | Adapts to non-standard layout content such as tables and coordinate annotations in survey PDF documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the upload requirements for single large project construction drawing document packages |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents timeout interruptions during parsing of large documents |
chunkSettingMode | Manual configuration | Adjust chunking rules for different types of survey and design documents |
Three Common Misconfigurations
- Scenario: An error "the argument ‘windows-1252’ is invalid encoding" occurs when uploading PPT or Word documents. Cause: Custom file parsing environment variables are not properly configured, resulting in unloaded encoding adaptation parameters.
- Scenario: The document parsing tool returns empty results or triggers an error when called in a workflow. Cause:
UPLOAD_FILE_MAX_SIZEis not adjusted to match the size threshold of large construction drawing documents, exceeding the upload limit. - Scenario: Chunking results include cross-chapter design description content. Cause: The heading-based chunking rule is not enabled, resulting in unregulated character-based splitting of long text.
How to Confirm Configurations Are Correctly Set
- Upload a survey PDF document containing tables and coordinate annotations, check if the parsed text fully retains table and coordinate information to confirm that the
customPdfParseconfiguration is effective. - Upload a project document package of approximately 500 MB, verify that the upload and parsing process does not trigger size or timeout limit error prompts to confirm that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations are reasonable. - Split a design manual with three-level hierarchical headings, check if the chunking results are divided by chapter to confirm that the
chunkSplitterandchunkSizeconfigurations match the document structure. - Try uploading meeting minutes in PPT format, verify that no encoding errors occur after parsing to confirm that environment variables and parsing configurations adapt to non-standard document formats.
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.