What the data for this category looks like
The document data for hazardous chemicals storage and transportation mainly comes from internal enterprise storage and transportation ledgers, filing documents from work safety supervision and management departments, tank area inspection records, transportation dispatch orders, and emergency response plans. Data update frequency varies by document type: storage and transportation ledgers are updated daily, inspection records are updated per shift, and filing documents are updated quarterly or annually.
There are two categories of document structures. One is fixed-format structured tables, including fields such as tank number, hazardous chemical name, storage volume, transportation qualification number, and other relevant fields. The other is long-text emergency response documents, including content such as response steps and protective measures.
There are special specifications for fields and units: storage volume uses tons or cubic meters as units, pressure parameters use MPa as units, and some documents include unique identification fields such as CAS numbers and hazardous chemical identification numbers.
What constraints these characteristics impose on the "document parsing and chunking" link
The mixed document structure of structured tables and long text requires parsing tools to support both table recognition and paragraph chunking. This avoids forced character-based splitting that breaks table content.
Special fields such as CAS numbers and hazardous chemical identification numbers must retain contextual association. Chunking cannot sever the connection between fields and their corresponding attributes.
Different update frequencies lead to differences in parsing duration. High-frequency updated inspection records require fast parsing, while large-volume annual ledgers require longer parsing durations.
Multi-source document formats including PDF, Excel, and Word require parsing tools to adapt to multiple file types, avoiding data loss due to format incompatibility.
The special unit specifications require retaining original units after parsing, avoiding data ambiguity caused by unit conversion.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Hazardous chemicals storage and transportation documents include long-text plans and structured ledgers. This range balances complete long-text semantics and retention of association when splitting table content |
chunkSplitter | Paragraph + table recognition | Adapts to document structures with both long-text emergency response plans and structured storage and transportation ledgers, avoiding forced character-based splitting of tables |
customPdfParse | Enabled | Most hazardous chemicals documents are in PDF format. Enabling this retains the original document's table layout and font hierarchy, improving parsing accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single hazardous chemicals storage and transportation document may include multiple pages of ledgers and plans. This duration covers the complete parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some enterprises' annual storage and transportation ledger documents have large file sizes. This upper limit meets batch upload requirements |
chunkSettingMode | Manual configuration | Allows flexible adjustment of chunking parameters for different document types (ledgers/plans) to adapt to specific scenario needs |
Three common mistakes
- Symptom: After calling the API to create a knowledge base, only a general success code is returned. No status feedback for parsing, ready, or failed states is available. Cause: The document parsing status callback mechanism is not enabled, and the status query API call logic is not correctly configured.
- Symptom: Table content in uploaded hazardous chemicals storage and transportation PDF files is split into scattered text. The original table's row and column structure cannot be restored. Cause: The
customPdfParseconfiguration is not enabled, orchunkSplitteris set to only character-based chunking, with table recognition mode not activated. - Symptom: Timeout errors occur when parsing large-volume annual storage and transportation ledgers. A connection timeout status code is returned. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is lower than the actual required duration for document parsing, and does not adapt to the large-volume, multi-page characteristics of hazardous chemicals ledgers.
How to confirm the configuration is correct
- Upload a single structured storage and transportation ledger PDF. Check if the parsed text retains the original table's row and column structure, and verify the integrity of key fields such as tank number and storage volume.
- Call the knowledge base parsing status query API to confirm that real-time updated feedback on parsing progress is available, covering all states including parsing, ready, and failed.
- Upload a large-volume document within 1000 MB, and confirm that the parsing process does not experience timeout interruptions.
- Adjust the
chunkSplitterconfiguration, compare the semantic coherence of long-text plans under different chunking methods, and ensure that key response steps are not severed.
The values provided are common starting points and should be evaluated against relevant 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.