What Data for This Category Looks Like
Infrastructure construction business documents mainly come from construction logs, bidding documents, construction drawing PDFs, progress ledgers, acceptance reports, and similar sources. Update rhythm follows project milestones. Single documents have relatively long length, and often include nested table of contents, engineering formulas, complex tables, and specialized fields. Fields frequently include construction numbers, project quantities, acceptance dates, and similar items. Units involve specialized engineering units such as cubic meters, meters, man-days. Document formats are primarily PDF, with some supporting Word and CAD export files.
What Constraints These Characteristics Impose on Document Parsing and Chunking
The long documents and specialized format characteristics of infrastructure construction impose clear constraints on the parsing and chunking process. If long documents are split into overly short chunks, engineering logical connections will be broken. Nested table of contents structures require chunking to match business nodes, to avoid splitting complete construction processes across nodes. Standard parsing for complex formulas and tables may lose formatting or key numerical values. Large PDF files may experience parsing interruptions or upload failures if parsing timeouts and upload limits are not adjusted. Additionally, mixed document types require adapted parsing rules for different formats, to avoid missing qualification attachments in bidding documents.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the long paragraphs and specialized content length of infrastructure documents, avoids splitting core engineering logic across chunks |
chunkSplitter | Directory structure + semantic chunking | Adapts to nested construction node table of contents in documents, preserves business process integrity |
customPdfParse | Enabled | Supports parsing engineering formulas, complex tables, and CAD-exported PDFs, prevents format loss from standard parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the size limit of single large construction drawing PDF files, meets large file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of large engineering documents, prevents mid-process timeout interruptions |
chunkSettingMode | Manual mode | Supports adjusting chunking parameters for different document types such as bidding documents and construction logs |
Three Common Misconfigurations
Reference only; verify against the target FastGPT release and deployment documentation.
- Issue: Clicking chunk preview for a PDF document shows that file content cannot be read. Cause: The uploaded PDF file exceeds the
UPLOAD_FILE_MAX_SIZElimit, or parsing fails becausecustomPdfParseis not enabled. - Issue: Synced Feishu knowledge base PPT and PDF documents are not parsed normally. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting is too short, causing mid-process interruption during parsing of large documents, or parsing support for the corresponding document type is not configured.
How to Confirm Proper Configuration
- Upload a typical construction document containing engineering formulas and nested tables, view the parsed chunk preview, confirm that core content is not truncated.
- Check the file upload configuration in the system backend, confirm that
UPLOAD_FILE_MAX_SIZEmatches the largest single document size in current business operations. - Trigger a parsing task for a large document, check system logs to confirm that parsing duration does not exceed the
PARSE_FILE_TIMEOUT_SECONDSsetting. - Adjust the
chunkSizeparameter, re-parse the same document, compare the logical integrity of the two chunking results, confirm that the parameter takes effect.
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.