What the data for this category looks like
The data sources for warehouse and logistics inquiries and responses include warehouse operation standard manuals, inbound and outbound process documents, delivery time specifications, cargo damage claims rules, park management regulations, and more. Data updates follow business adjustment cycles. Regular operation documents are updated every six months. Temporary business notices are generated and archived in real time. Document formats include long-text PDFs, process-related docx files, and structured table files. These files contain fields such as location numbers, SKU codes, time limit days, and damage rate thresholds. Supported units include pieces, cubic meters, days, yuan/ton, and more.
What constraints these characteristics impose on document parsing and chunking
Mixed long-text manuals and structured table files cause format misalignment in general parsing tools. Chunking workflows must distinguish boundaries between structured data and non-standardized text. Real-time temporary business notices and regularly updated standard documents are uploaded together. Contextual association between adjacent chunks must be retained to avoid splitting complete business processes. Fields with specific units must not be split between the unit and corresponding value during chunking. This prevents reduced accuracy of inquiry responses. When processing multiple format files in batches, parsing logic must be adapted to different document types to avoid parsing omissions.
How to configure the settings
The following configuration items apply to FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Warehouse and logistics documents often contain structured tables and long text. This range balances contextual integrity and chunk granularity |
chunkSplitter | By paragraph + semantic boundary | Warehouse and logistics documents have semantically independent units such as process steps and rule clauses. Splitting in this way retains the integrity of business logic |
customPdfParse | Enabled | Warehouse and logistics PDFs often contain nested tables and page number annotations. Enabling this optimizes parsing effects for structured content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large warehouse planning PDFs or batch files takes a long time. This duration covers parsing requirements for most scenarios |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Large packaged documents for warehouse and logistics often exceed conventional file size thresholds. This configuration adapts to batch upload requirements |
chunkSettingMode | Manual configuration | Warehouse and logistics documents have large format differences. Manual configuration flexibly adapts to chunking requirements for different types of files |
Three common configuration errors
- Phenomenon: Parsed text chunks are not split by business logic. Adjacent inbound and outbound process steps are split into different chunks. Cause:
chunkSplitteris not set to semantic boundary mode. The default fixed character splitting strategy is used instead. - Phenomenon: The frontend receives unformatted full paragraphs. Content cannot be displayed in segments according to business logic. Cause: Stream return format markers are not enabled, or chunks are not split by semantics.
- Phenomenon: Batch uploads of multiple docx and pdf files cause parsing timeouts or abnormal parallel processing. Cause:
PARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEare not adjusted to adapt to large logistics documents, or parallel upload configuration is not enabled.
How to verify correct configuration
- Upload a warehouse and logistics operation document that includes structured tables. Confirm that parsed chunks retain complete row and column associations for the table.
- Upload multiple warehouse and logistics documents of different formats in batches. Confirm that parallel processing status for parsing tasks is normal.
- View the chunking result for a single long document. Confirm that adjacent business process steps are not split into different chunks.
- Enable stream return configuration. Test that text received by the frontend can be segmented by semantics, and can be used for interface display without additional formatting.
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.