Data Profile for This Category
Typical data sources for this category include engineering quality and safety supervision systems, on-site construction site real-name management platforms, supervision logs, test reports, and others. The update frequency is weekly. Daily documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, completion acceptance supervision reports, and others. Document structures include fields such as inspection date, hidden danger number, rectification requirements, and acceptance conclusion. Some documents such as test reports contain professional technical parameters. Excel ledgers include headers and tens of thousands of rows of detailed data, while PDF reports can reach thousands of pages in length.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Multi-source data covers intranet systems, local files, and web-based content, requiring the parsing module to adapt to different access permissions and formats. The weekly batch document feature requires the chunking process to have efficient batch processing capabilities. Diverse document types with significant structural differences, ranging from short-text rectification notices to thousand-page PDF reports, require flexible chunking strategies for adaptation. Excel ledgers include headers and tens of thousands of rows of detailed data; if the chunk size is too large, retrieval granularity will be insufficient. Parsing large-volume documents takes a long time, so reasonable timeout parameters must be set to avoid task interruptions.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 600–1000 characters | Adapts to the field density and single-block information integrity of construction engineering documents, avoiding single-block data redundancy or information fragmentation |
chunkSplitter | Split by paragraph + filter specified tags | Matches the natural paragraph structure of supervision logs and rectification notices, filters redundant headers, footers and system-generated irrelevant content |
customPdfParse | Enable intelligent layered extraction | Adapts to the hierarchical structure of thousand-page PDF completion acceptance reports, retaining the logical relationships of chapters, tables and paragraphs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the parsing time required for single thousand-page PDF reports, avoiding forced interruption of large-volume document parsing tasks |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading of large test reports and supervision log archive files, adapting to the upload needs of weekly batch data |
chunkSettingMode | Manual customization | For Excel ledgers with headers and tens of thousands of rows of detailed data, individually adjust chunking parameters to optimize retrieval granularity |
Three Common Configuration Mistakes
- Intranet Confluence pages cannot be parsed. The cause is that intranet access adaptation rules are not configured, or the custom web parsing mode is not enabled, resulting in failure to bypass permission restrictions to extract page text.
- Parsing times out after uploading a 500–1000 page PDF annual report. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSsetting value is too low, failing to cover the actual parsing time of large-volume documents. - After uploading an Excel file with headers and tens of thousands of rows of data, the large model returns an incomplete request prompt. The cause is that
chunkSizeis set too large, and the single-block data volume exceeds the reasonable range, resulting in failure to fully load information during retrieval.
How to Verify Correct Configuration
- Upload a single typical document (such as a hidden danger rectification notice PDF), check the parsed text structure, confirm that redundant content has been filtered and paragraph segmentation conforms to business logic.
- Upload batch weekly updated documents, check the completion status of parsing tasks, confirm that the
PARSE_FILE_TIMEOUT_SECONDSsetting covers the parsing time of most documents. - Upload a ten-thousand-row Excel ledger, adjust the
chunkSizeparameter and compare chunking results, confirm that the single-block data volume adapts to subsequent retrieval needs. - Test the parsing effect of internal system pages in an intranet deployment environment, confirm that page text content can be extracted normally.
The values provided are common starting points and should be evaluated 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.