What the Data for This Category Looks Like
Documents and materials for the basic chemical industry mainly originate from production ledgers, raw material quality inspection reports, process specifications, safety compliance manuals, and equipment operation and maintenance records. Data update cycles range from real-time daily updates for production ledgers to quarterly or annual revisions for compliance documents. Document structures include structured tables with fixed headers, long-form process descriptions, and standardized text with chapter numbering. Fields and units include chemical-specific metering identifiers such as tons, kilograms, molar concentration, MPa, and some documents contain both plain text descriptions and embedded table data.
What Constraints Do These Characteristics Impose on the "Document Parsing and Chunking" Link
The multi-type structure and specialized metering features of basic chemical industry documents create multiple constraints for the parsing and chunking process. Structured table documents must retain the association between fields and units to avoid post-parsing data disorder. Long-form process descriptions have no forced line breaks; relying solely on default separators can cause context breaks. Large compliance manual PDFs can reach 2-3 MB in size, which may trigger parsing timeouts. Some enterprise data is stored in self-owned databases, requiring support for structured import and field association parsing, as well as adaptation to batch files such as Excel-format raw material lists.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Balances contextual coherence for short-field detection data and long-form process descriptions in chemical documents, avoiding overly fragmented or overly long chunks |
chunkSplitter | Custom separator + line break | Adapts to the mixed structure of chapter separators (such as "Chapter X", "Test Report") and natural line breaks in chemical documents, accurately splitting independent document units |
customPdfParse | Enable structured parsing | Retains fields and formats of embedded quality inspection tables and process flow chart descriptions in chemical documents, avoiding loss of structured data from plain text parsing |
UPLOAD_FILE_MAX_SIZE | 3000 MB | Covers the upload requirements of large process manual PDFs up to 2-3 MB, avoiding errors due to exceeded file size limits |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time required for large PDF documents, preventing timeout failures mid-process |
chunkSettingMode | Manual configuration | Flexibly adjusts chunking rules for different types of chemical documents (such as ledgers, manuals, reports) to adapt to format differences |
Three Common Misconfigurations
- Scenario: After uploading a 3 MB chemical compliance manual PDF, the interface prompts parsing failure, and the backend log returns a timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default duration is insufficient to complete full parsing of large documents. - Scenario: After setting the custom separator to line breaks, the chunking results either merge multiple independent quality inspection paragraphs or split a single complete process description. Cause: The mixed separation rule was not combined with the
chunkSplitterconfiguration; using only line breaks cannot adapt to the structure of long paragraphs with no forced line breaks in chemical documents. - Scenario: When attempting to import an Excel-format raw material ledger, the database connection fails, and the parsed fields are empty or units are lost. Cause: Corresponding data source connection parameters were not configured, and structured parsing logic was not enabled, making it impossible to recognize the association between fields and units in Excel.
How to Verify Proper Configuration
- Upload a single 1.5 MB chemical quality inspection PDF, check the parsed chunk results, and confirm that each chunk contains complete detection data and descriptive paragraphs.
- Upload an Excel-format raw material ledger file, check whether the parsed fields retain raw material names, batches, detection values and corresponding units.
- View the system backend's file upload and parsing logs to confirm that no timeout or format errors were triggered during the upload and parsing process.
- After adjusting the
chunkSizeparameter, compare the chunking effects under different values to confirm that the chunk granularity meets the type requirements of the currently processed documents.
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.