Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
Documents for internal office and employee services in warehousing and logistics mainly come from warehousing operation SOPs, employee shift schedules, logistics order ledgers, equipment maintenance logs, inbound inspection receipts, and similar sources. Data update cycles cover daily, weekly, and monthly periods, with significant differences in document volume across cycles. Document structures include structured tables (with fields such as item number, pallet ID, outbound lead time, etc.), long-text operation specifications, and scanned PDF inspection records. Fields often have dedicated units such as pieces, boxes, tons, hours.
What constraints do these characteristics impose on the document parsing and chunking link
Warehousing and logistics documents have mixed structures, with structured tables and long text coexisting. Parsing must distinguish between table fields and paragraph content to avoid breaking table integrity during chunking. High-frequency updated order documents have large volumes, so single chunk length must be controlled to avoid embedding excessive redundant data. The setup must also adapt to OCR parsing requirements for scanned PDFs, to ensure handwritten fields in inspection records can be accurately extracted. The presence of dedicated fields and units requires retaining field context during chunking, to avoid splitting fields from their corresponding units, which would reduce subsequent retrieval accuracy.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to mixed table paragraphs and long-text SOPs in warehousing documents, avoids reduced retrieval precision from overly long single chunks, and matches the content length of single order documents |
chunkSplitter | Split by paragraph + title | Distinguishes chapters of operation specifications and order table blocks, retains document logical structure, and avoids cross-chapter chunking |
customPdfParse | Enable OCR mode | Adapts to scanned equipment inspection PDF documents, accurately extracts handwritten inspection fields and printed text |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of monthly inventory PDF documents in a single session, avoids interrupting the upload process due to file size limits |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of large-volume annual inventory documents, avoids parsing failure due to timeout |
chunkSettingMode | Manual configuration | Adjusts chunking parameters separately for different types of warehousing documents, adapts to mixed scenarios of structured and unstructured documents |
Three common mistakes
- The symptom is empty content in the parsing result after uploading a scanned equipment inspection PDF. The cause is that the OCR mode of
customPdfParseis not enabled, so content in image-based scanned PDFs cannot be recognized. - The symptom is no results returned from search tests after the knowledge base is configured. The cause is an unreasonable
chunkSizesetting, leading to chunks that fail to cover core retrieval fields such as item number and outbound lead time, or failure to correctly extract content from structured tables. - The symptom is that the interface does not show the parsing completion status after uploading a PDF, and no error messages appear in the backend logs. The cause is that
PARSE_FILE_TIMEOUT_SECONDSis set too short, so large-volume monthly inventory documents time out before parsing completes, and no status update is triggered.
How to confirm the configuration is correct
- Upload a single scanned inspection PDF, check if the parsing result includes handwritten inspection fields and printed text, to confirm that the
customPdfParseconfiguration takes effect. - Upload a batch of small-volume order documents, verify that the upload process completes normally, to confirm that
UPLOAD_FILE_MAX_SIZEmeets requirements. - Run a search test, enter warehousing-specific fields such as item number and outbound lead time, check if corresponding document fragments are returned, to confirm that chunks retain key context.
- View parsing task logs, confirm that no timeout errors appear in the task, to verify that
PARSE_FILE_TIMEOUT_SECONDSis set appropriately.
The values provided here 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.