What this category of data looks like
Declaration materials and file data for hazardous chemicals storage and transportation mainly come from enterprise storage and transportation management systems, safety supervision department compliance declaration forms, hazardous chemicals in-and-out warehouse documents, and annual compliance files. Data update rhythms fall into two categories: daily in-and-out warehouse documents update on a natural day basis, and annual compliance files update quarterly or per special declaration cycles. Document formats include structured Excel spreadsheets, scanned PDFs, and system-exported JSON files. Core fields include hazardous chemical product name, CAS number, storage volume, compliance validity period, and approval document number. Units involve professional measurement standards such as tons, cubic meters, milligrams per cubic meter, and others.
What constraints do these characteristics impose on the document parsing and chunking link
Hazardous chemicals storage and transportation data has a high proportion of structured tables, and includes non-splittable professional fields such as CAS number and compliance validity period. General chunking tools may accidentally split key information combinations. Scanned PDF files account for a non-negligible share of files, so adaptation to non-text OCR parsing logic is required. Professional measurement units are strongly bound to fields. Chunking must retain the association between fields and units to avoid information breaks during subsequent review. Daily in-and-out warehouse documents update daily, so batch parsing must adapt to high-frequency document upload requirements to avoid timeouts or parsing failures. Annual compliance files have relatively long lengths. Chunking must balance contextual coherence to ensure information integrity during review.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Hazardous chemicals declaration materials include professional fields and long text descriptions. This range balances the integrity of information per chunk and subsequent retrieval efficiency |
chunkSplitter | Split by paragraph + title | Adapts to the mixed structure of structured tables and unstructured descriptions in documents, avoiding splitting cross-paragraph professional field combinations |
customPdfParse | Enabled | Adapts to a large number of scanned compliance files, retains original typesetting and field position information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual compliance files have relatively long lengths, so sufficient time must be reserved for full parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports single-batch batch upload of monthly in-and-out warehouse document collections, adapting to high-frequency updated data requirements |
Three common mistakes
- Phenomenon: After uploading a 10M+ monthly hazardous chemicals in-and-out warehouse document collection, over 1000 chunks are generated, and vectorization fails for some chunks. The interface displays the "parsing exception" status code. Cause: The
chunkSizeis not adjusted to adapt to long document batch chunking, resulting in single-block content exceeding the input limits of the vectorization model. - Phenomenon: After calling the database node to query compliance data, the returned JSON array cannot directly associate fields, requiring secondary processing via a code node. Cause: Structured parsing mode is not enabled, resulting in unextracted and unstandardized unstructured exported data.
- Phenomenon: When batch uploading multiple scanned compliance files, the parsing task times out and terminates. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a sufficient duration, and the default timeout period is insufficient to complete full OCR parsing of scanned files.
How to confirm the configuration is correct
- Upload a standard hazardous chemical product name list spreadsheet, check if the parsed chunks retain the complete combination of product name and CAS number, with no cross-field splitting.
- Upload a scanned compliance file, confirm that the parsing result retains the original document's typesetting and key field positions.
- Upload a monthly in-and-out warehouse document collection of around 100M, check that the parsing time does not exceed the duration set by
PARSE_FILE_TIMEOUT_SECONDS. - View the chunk list, confirm that the length of each chunk falls within the range set by
chunkSize, with no excessive splitting or overly long chunks.
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.