What the data for this category looks like
This category’s core data originates from design history files, device and material batch ledgers, MES systems, clean environment monitoring equipment, sterilization equipment, and inspection and calibration systems. Daily documents include production process specifications, batch production records, clean zone operation records, sterilization batch records, inspection reports, software version records, and adverse event traceability materials. Data updates run per single-batch production or environmental monitoring plans. Each individual document includes fields such as batch unique identifier, process parameters, timestamps, and compliance records. Field units include ℃, Pa, minutes, batch number strings, and other standard units.
What constraints these characteristics impose on the document parsing and chunking workflow
Documents in this category are frequently tied to batch unique identifiers and associated process parameters. Chunking operations must avoid splitting content that breaks these cross-field contextual associations. Documents from different sources have large format differences: some are structured PDF sterilization records, while others are CSV-formatted clean environment monitoring data. Parsing must adapt to diverse file structures. Data updates occur at high frequency, and the collection of documents for a single batch has a large volume. Parsing must support large file processing while retaining batch association logic. The correlation between field units and compliance records is strong. After chunking, the binding relationship between parameters and their corresponding records must not be lost.
How to configure the settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the core paragraph length of a single production process specification or batch record for this category, avoiding splitting that breaks key associated fields such as sterilization parameters and batch identifiers |
chunkSplitter | By paragraph + semantic boundary | Matches the natural logical nodes of production processes and inspection records, avoiding splitting across process steps |
customPdfParse | Enabled | Adapts to the structured PDF formats of sterilization batch records and clean zone records, retaining fields and units from the original layout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates the complete batch production record collection for a single batch, preventing large file upload truncation |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Processes long documents containing multiple pages of clean environment monitoring data, avoiding parsing timeouts |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types (such as process specifications vs. sterilization records) to adapt to the diverse document structures within this category |
Three common configuration mistakes
- Symptom: Uploading a complete single-batch batch production record PDF stalls at 90% progress with the prompt "Offset out of range". Cause:
UPLOAD_FILE_MAX_SIZEwas not adjusted to accommodate large files, or the deployment environment’s temporary storage quota is insufficient. - Symptom: Documents uploaded via the create file collection API have inconsistent chunking results compared to documents uploaded directly via the platform. Cause:
chunkSettingModeandchunkSplitterconfigurations were not unified, and default API upload parameters do not align with manual platform configurations. - Symptom: Usable question-answer pairs cannot be directly extracted from clean zone records or sterilization batch records. Cause: Default chunking fails to retain the contextual association between process steps and parameters, leading to broken semantic splits.
How to confirm the configuration is properly set
- Upload a typical sterilization batch record PDF, and verify that the parsed chunks retain the complete association between sterilization temperature, time, and batch number.
- Compare the chunking lists of the same document uploaded via API and manually via the platform, confirming that the chunking rules are consistent.
- Upload a batch production record collection with a size under 1000 MB, confirming that the upload progress has no abnormal interruptions.
- Test binding a custom parsing URL, confirming that structured fields such as clean zone temperature and humidity are correctly extracted.
The values provided are common starting points and should be measured against the reader's own samples.