What the data for this category looks like
The internal office data for general contracting of building construction projects mainly comes from construction documents across the full project cycle, material management ledgers, labor attendance records, engineering contracts, change visas, and similar sources. Data update timelines align with project milestones: construction logs are updated daily or weekly, material ledgers are updated monthly, and contract files are updated immediately when signed or changed. Document types include long-form construction organization designs spanning dozens of pages, dense material lists and attendance sheets, with fields such as project number, project quantity, shift hours, labor team name, and more. Professional units include cubic meters, square meters, man-days, tons, and others.
What constraints do these characteristics impose on document parsing and chunking
Documents for general contracting of building construction projects have several core traits: high share of long-form content, dense tables, numerous professional fields and units, and varied update frequencies. If long-form documents are split too finely, the contextual link between professional terms will break. If split too broadly, retrieval accuracy will drop. For dense table documents, losing cell correspondence during parsing will cause logical confusion in chunked content. Retention of professional units and fields directly impacts the accuracy of later retrieval. Parsing large-volume documents takes significant time. Without proper configuration, this will slow down internal office response speeds. Frequently updated documents also require fast parsing and chunking to maintain real-time internal service performance.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the professional paragraph length of building construction project documents, preventing splitting that disrupts professional terms and contextual logic |
chunkSplitter | Split by paragraph + heading | Works with construction logs and contract files that have hierarchical structures, preserving the integrity of the document's logical units |
UPLOAD_FILE_MAX_SIZE | 20 MB | Supports large-volume documents common in building construction general contracting, such as complete construction organization design files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of complex large files, avoiding parsing failures due to timeout |
customPdfParse | Enabled | Preserves table layouts and professional field formatting in PDF documents, preventing loss of professional units and data |
Three common configuration errors
- After uploading an Excel material ledger, the automatic split result merges multiple rows, and cannot chunk by individual records. This occurs when
chunkSplitteris not set to row-by-row separation mode, so custom splitting is not adapted to Excel's row structure. - When uploading a 10+ MB Word construction organization design file, parsing times out and fails. This happens when
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a sufficient duration; the default timeout cannot cover the parsing time of complex documents. - After importing a document, chunks with identical content cannot be recalled, but a new knowledge base with the same configuration works normally. This is because the document's original metadata was not retained during parsing, breaking contextual association during vector matching.
How to verify correct configuration
- Upload a single 15–20 MB Word construction organization design file, confirm that parsing completes within a reasonable timeframe with no timeout errors.
- Import an Excel labor attendance sheet with multiple rows of records, check that each attendance record maps to an independent chunk.
- Upload a PDF construction log containing professional tables, confirm that the parsed text retains cell correspondence and professional units such as cubic meters and man-days.
- Upload the same document twice, importing each to a separate knowledge base, and verify that identical chunks are recalled consistently.
The values listed here are common starting points, and should be evaluated against the reader's own sample data.
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.