What the Data for This Category Looks Like
The typical data for this category comes from the full production workflows of coatings, resin, additive, agrochemical intermediate, and specialty chemical enterprises. Daily documents include batch production instructions, material feeding verification sheets, reaction process records, site cleaning records, inspection reports, deviation and change orders. Data sources cover formula and process libraries, raw material batch ledgers, reactor DCS data, weighing systems, LIMS, and warehouse management systems. Updates are triggered per production batch or each key step. Most documents are structured forms and semi-structured process records, containing unit-bearing fields such as formula component proportions, reaction temperature and pressure, and feeding quantities. Due to multi-product batch switching, single-batch documents are associated with multi-link data.
What Constraints These Characteristics Impose on Document Parsing and Chunking
The multi-batch, multi-document association feature requires parsing to accurately match batch-related fields to avoid cross-batch data confusion. Batch-updated documents must support incremental parsing to prevent repeated processing of historical data. The mixed document structure of semi-structured process records and forms requires parsing to distinguish between fields and free-text paragraphs, avoiding damage to the logical association of key links such as feeding and reactions during chunking. Unit-bearing fields must retain original measurement information, and units and corresponding values cannot be split during chunking. Additionally, due to formula confidentiality requirements, the parsing process must avoid leaking undisclosed component information, and compliance processing must be performed for sensitive fields.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of key links in single-batch process records, avoiding splitting reaction steps or feeding logic |
chunkSplitter | Chunk by paragraph + heading | Adapts to the heading and paragraph structure of semi-structured documents, preserving link relevance |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the time requirements for combined parsing of single-batch multi-documents, avoiding long document parsing timeouts |
customPdfParse | Enable structured form parsing | Adapts to structured PDF documents such as material feeding verification sheets and inspection reports, enabling accurate field extraction |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of multiple documents per production batch, matching the batch processing requirements of enterprise production documents |
chunkSettingMode | Manual configuration | Customizes chunking rules for this category's document structure, adapting to content associated with multiple links |
Three Common Misconfigurations
- Symptom: The parsing task throws the
Cannot redefine property: toStringerror. Cause:customPdfParseis not enabled and a non-standard structured PDF template is used, causing the parsing engine to repeatedly define built-in methods. - Symptom: The total number of chunks exceeds 3000 after chunking, and the interface prompts a chunk limit exceeded error. Cause: The
chunkSizevalue is not adjusted based on the total length of single-batch documents, and blindly using generic chunking parameters leads to excessive chunk count. - Symptom: After upgrading FastGPT, existing CSV-format feeding records cannot be chunked normally. Cause: The adaptation rules for
chunkSplitterare not updated synchronously, and the default processing of CSV field separators in the new version's parsing logic has changed.
How to Confirm the Configuration Is Correct
Based on the configuration items of FastGPT v4.17.0, verification can be performed through the following actions:
- Upload a single typical batch production instruction document, check the parsed field extraction results, and confirm that key fields such as formulas and feeding quantities are not missing or misaligned.
- Count the total number of chunks after chunking, adjust
chunkSizeuntil the number of chunks meets the logical grouping requirements of business review. - Upload batch production documents, verify that the
UPLOAD_FILE_MAX_SIZEconfiguration supports batch uploads, and no upload failure prompts appear. - Trigger a parsing task, confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration does not trigger a timeout error, and the parsing result is complete.
The values provided here are common starting points and should be measured against the reader's own samples.