Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
The data for this category mainly comes from R&D experiment logs, production quality inspection reports, material ratio lists, patent technical documents, and internal training manuals. The data update rhythm changes with business nodes. R&D experiment records are updated upon completion of each single experiment. Production quality inspection reports are updated according to daily production batches. Material lists are adjusted irregularly with product formula iterations. Most documents contain structured tables, long-text experiment steps, and standardized fields. The fields cover product grades, production batches, process parameters, detection indicators, and raw material ratio items. Units involve industrial standard units such as kilograms, cubic meters, degrees Celsius, and pascals.
What constraints do these characteristics impose on document parsing and chunking
Mixed long-text steps and structured tables in R&D experiment logs will cause general chunking tools to separate tables from associated text. This loses the corresponding relationship between process parameters and experiment steps. Multiple batches of quality inspection reports have repeated field structures. If chunking does not retain batch association information, subsequent retrieval will fail to match data corresponding to the production link. Material ratio lists have many compact field items. Too small chunks will split a single ratio item. Too large chunks will mix in parameters from unrelated batches. Patent documents are dense with professional terms. Chunking must retain term context to avoid semantic breaks. Differences in document update frequencies require parsing workflows to adapt to different batch processing rhythms. This avoids resource waste.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Chemical documents often mix long text and structured tables. This range can retain the complete context of a single process parameter or ratio item |
chunkSplitter | Split by "paragraph + table" | Experiment steps and table data in chemical documents are bound together. Splitting this way avoids separating associated information |
customPdfParse | Enabled | Chemical PDF documents often contain embedded tables and professional formulas. Custom parsing can retain original typesetting and field structures |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single collections of production batch quality inspection reports or R&D log packages have large sizes. This upper limit covers most business scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large R&D logs or multi-batch reports requires longer processing time. This setting avoids mid-process timeout failures |
chunkSettingMode | Manual mode | Chemical documents have large structural differences. Manual configuration allows adjusting chunking rules for different document types |
Three common mistakes
- Symptom: After uploading an Excel-format material ratio list, the table fields in the parsing result are empty. Cause: The custom parsing configuration for structured tables is not enabled. General parsing cannot recognize the dedicated field format of chemical material lists.
- Symptom: After uploading a large R&D experiment record, the request fails with an error after parsing takes more than 2 minutes. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is set too low, and does not match the parsing duration requirements of large documents. - Symptom: After uploading a single R&D log package larger than 1000 MB, the interface shows upload failure. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration item is not adjusted, and the upload is blocked because it exceeds the default upper limit.
How to confirm the configurations are set correctly
- Upload a typical chemical quality inspection report PDF, and check whether the parsed text retains the row and column structure and field order of the original table. This confirms that the
customPdfParseconfiguration is effective. - Upload a small R&D experiment record, and check whether the chunked text covers the complete experiment steps and parameters. This confirms that the
chunkSizeandchunkSplitterconfigurations match the document structure. - Upload a document package with a volume close to the configured upper limit, and confirm that the upload and parsing processes are not interrupted. This verifies the adaptability of
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDS. - For different types of chemical documents, compare parsing results after switching chunking configurations. This confirms that the manual configuration of
chunkSettingModeis effective.
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.