What the data for this category looks like
Business data for batch fine chemical synthesis comes from formula and process libraries, raw material batch records, reactor DCS systems, weighing systems, LIMS, and warehouse systems. Data is updated per production batch or each key operation step. Common daily documents include batch production instructions, feeding review sheets, reaction process records, cleaning records, inspection reports, deviation orders, and change orders. Fields in these documents often contain professional information such as feeding amount, reaction temperature, batch number, and raw material specifications. Units include kilograms, cubic meters, degrees Celsius, hours, and other industrial standard units. The structure of documents from different batches dynamically adjusts based on production links.
What constraints do these characteristics impose on document parsing and chunking?
The multi-batch, multi-link document structure of this category requires document parsing and chunking to retain business-related information, and avoid splitting that breaks the binding relationship between batches and parameters. High-frequency single-batch updates mean the parsing process must support fast batch processing, and adapt to temporary upload scenarios with multiple documents. Documents with professional fields and confidential formulas require parsing to accurately identify valid content, avoid mixing irrelevant information into chunks, and avoid the risk of cross-chunk leakage of sensitive fields. The binding of cleaning records to batches requires chunking to associate corresponding batch identifiers, ensuring subsequent retrieval can accurately match production link data.
Configuration Recommendations
This document is based on the configuration logic of FastGPT v4.17.0. The following are configuration recommendations for this scenario:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Fine chemical documents contain professional parameters and batch-related information. This length preserves field coherence and prevents professional parameters from being split across different chunks |
chunkSplitter | Split by batch number + document type | Documents in this category are categorized by production batch and operation link. After splitting, business logical association is retained, facilitating subsequent retrieval and matching |
customPdfParse | Enabled | Adapts to PDF documents with digital signatures, and can bypass signature verification to extract internal valid business content |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Single-batch documents contain multi-link records. Parsing time is longer than general scenarios, and this range covers the parsing duration of most documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to scenarios where multi-batch documents are uploaded in batches, preventing parsing failures caused by oversized files |
chunkSettingMode | Custom | It is necessary to adjust chunking rules for the professional fields and document structure of this category. General chunking modes cannot meet business requirements |
Three Common Mistakes
- Symptom: After uploading a PDF with a digital signature, the parsing result has no valid business content. Cause: The
customPdfParseconfiguration is not enabled, and the default PDF parsing logic cannot recognize valid document content embedded in the signature. - Symptom: After the API returns a knowledge base reading link, clicking it triggers an error prompt that only .txt and .m formats are supported. Cause: The uploaded document format is not covered by the
customPdfParseconfiguration, or the parsing support for the corresponding format is not enabled. - Symptom: After setting a custom chunk length, professional parameters are truncated in the actual chunking result. Cause: The
chunkSizeconfiguration is not adjusted based on the field units and length of documents in this category, resulting in a chunking length that does not meet the requirements for complete reading of professional parameters.
How to Confirm the Configuration Is Correct
- Upload a PDF document with a digital signature, and check whether the parsing result extracts valid business fields such as feeding amount and reaction temperature.
- View the parsing log to confirm that no timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSis triggered. - Randomly sample chunking results, and verify that each chunk contains complete batch identifiers and associated business information.
- Upload multi-batch mixed documents, confirm that there are no format errors in batch parsing, and chunks are correctly split by batch and document type.
The values provided here are common starting points and should be measured against the reader's own samples.