What the data for this category looks like
Data related to equipment inspection and maintenance for pharmaceutical dosage production originates from approved formulation processes, material batches, MES/electronic batch records, equipment and environmental monitoring systems, LIMS, and quality management systems. Daily documents include master production documents, batch production records, cleaning records, inspection records, deviation and change documents, among others. Most documents follow fixed chapter and field structures. Fields include equipment numbers, inspection items, process parameters, material batch numbers, deviation descriptions, and more. Common units include kilograms, degrees Celsius, and hours. Data is updated with each production batch, each key process step, and per established monitoring plans.
What constraints these characteristics impose on document parsing and chunking
Most documents are batch record-style files with fixed chapter structures. Chunking must retain the association between chapter titles and content, to avoid splitting that breaks the integrity of process or inspection logic. Data is updated per batch, and there is high demand for batch uploads. Parsing must support batch processing of multiple files and avoid timeouts. Fields include precise process parameters and compliance records. Parsing must accurately extract key information without missing core fields. Documents come from multiple systems with varying formats. Parsing must support parsing rules for multiple file types to ensure data consistency.
Configuration Settings
The following configurations are based on FastGPT v4.17.0, and are tailored for equipment inspection and maintenance document scenarios in pharmaceutical dosage production:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents for pharmaceutical dosage production include continuous process parameters and inspection items. This length covers complete parameter groups and avoids context breaks |
chunkSplitter | Split by title + paragraph | Batch records and inspection documents have fixed chapter titles. Retaining titles improves contextual relevance during retrieval |
customPdfParse | Enabled | GMP-related documents often have fixed headers, footers, and approval signature areas. Custom parsing filters irrelevant content and focuses on core business fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | When uploading multiple batch records in bulk, this prevents task failure due to overly long single-file parsing time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to storage and parsing requirements for batch uploading multiple batch production records |
chunkSettingMode | Manual configuration | Adjust chunking rules based on the chapter hierarchy of batch records, to adapt to fixed-structure document formats |
Three Common Errors
- The symptom is that files upload and parse correctly in a local frontend environment, but return a 404 error when uploaded after server deployment. The cause is that the server side does not have a correct file storage path mapping, so the parsing node cannot access the uploaded document files.
- The symptom is that when deploying Qwen3-14B with Vllm 0.10, specified response fields cannot be extracted from pre-parsed PDF results. Normal functionality is restored after switching to Qwen2.5-14B. The cause is that the field extraction logic of the pre-parsing component does not match the output format of Qwen3-14B.
- The symptom is that knowledge base retrieval results only include main body content, and do not associate with corresponding chapter titles. The cause is that chunking is configured to split only by character length, without retaining the document's title hierarchy information, so complete business context cannot be matched during retrieval.
How to Confirm Configurations Are Applied Correctly
- Upload a single approved batch production record, review the parsed chunk list, and confirm that each chunk includes the corresponding chapter title and associated business content.
- Upload bulk documents that fall within the
UPLOAD_FILE_MAX_SIZElimit, check the completion status of parsing tasks, and confirm that no timeout or parsing failure prompts appear. - Input a retrieval query that includes equipment numbers and inspection items, verify that returned results include associated document chapters and specific parameter information.
- Modify the
chunkSizeparameter, re-parse the same document, compare changes in chunk structure before and after, and confirm that the configuration parameter has taken effect.
The values provided are common starting points and should be measured against the reader's own samples.