What this category of data looks like
Vaccine, antibody, blood product, and aseptic injection manufacturers are the primary sources of data for this category. These manufacturers maintain daily documents including cell bank or seed lot records, culture and purification records, aseptic filling records, environmental monitoring data, media fill simulation results, sterility test reports, and batch release documents. Data sources include cell bank and seed lot systems, process analysis platforms, clean zone monitoring systems, MES, LIMS, and equipment integrity testing tools. Update cadences cover sync updates per production batch, real-time monitoring data pushes, and updates per monthly or quarterly monitoring plans. Document fields include batch number, equipment runtime, clean zone sedimentation bacteria count, media batch number, and more. Some documents contain non-text content such as equipment nameplates and petri dish photos.
Constraints on Document Parsing and Chunking
This category includes diverse document types and non-text content. Parsing workflows must simultaneously process structured batch records and unstructured monitoring photos. The parsing process must balance text extraction and full transfer of embedded images. Real-time updated monitoring data requires parsing workflows to have low latency. This prevents data lag from disrupting inspection and maintenance responses. Documents from different production batches must be strictly split along batch boundaries. This prevents cross-batch content confusion that creates compliance risks. Document fields contain specialized production parameters. Chunking processes must retain the association between parameters, corresponding equipment, and batches. This avoids losing critical context after splitting.
Configuration Settings
The following configurations are based on FastGPT v4.17.0 rules:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of single-segment specialized content in biologic batch records, avoids splitting critical parameter and equipment association information |
chunkSplitter | Split by title + paragraph | Retains document hierarchical structure, distinguishes inspection and maintenance records for different equipment and production batches |
customPdfParse | Enable embedded image extraction | Adapts to PDF documents containing petri dish photos, equipment nameplates, and clean zone monitoring images, ensuring images can be read by large models |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long batch records and monthly summary monitoring reports, prevents large document parsing interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports bulk upload of monthly environmental monitoring summary files and multi-batch record collections |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types (such as batch records and real-time monitoring data) to fit business scenarios |
Three Common Misconfigurations
- Symptom: Embedded images cannot be read by large models or are lost after parsing a PDF document. Cause: The
customPdfParseconfiguration is not enabled, and the embedded image extraction function is not turned on. - Symptom: Parsing fails after uploading a publicly shared link from Chinese cloud note-taking platform Yuque. Cause: The link does not have public access permissions, or the link points to a private page that requires login, which does not meet data source requirements.
- Symptom: Long batch production records time out or are truncated during parsing. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue is not adjusted to a setting suitable for long documents, causing the parsing task to terminate early.
How to Confirm the Configuration Is Correct
- Upload a PDF of an aseptic filling record that includes embedded petri dish photos. Check whether the parsing result includes associated descriptions of the images or accessible image resources.
- Upload a publicly accessible link from Chinese cloud note-taking platform Yuque for an equipment inspection knowledge base. Confirm that the parsing task has no errors and generates complete knowledge base entries.
- Upload a 100-page monthly environmental monitoring summary file. Check that the parsing time does not exceed the set
PARSE_FILE_TIMEOUT_SECONDSthreshold. - Split a long text that includes equipment operating parameters and inspection records. Confirm that the chunking result retains the association between the parameters and the corresponding equipment number.
The values provided are common starting points and should be measured against the reader's own samples.