What Data for This Category Looks Like
Typical entities in this category are liquid milk, yogurt, milk powder and dairy ingredient manufacturers. Daily documents include raw milk acceptance records, standardized ingredient lists, pasteurization/UHT heat treatment records, CIP cleaning records, filling records, sample retention records and microbial test reports. Data comes from raw milk testing, production MES systems, homogenization and heat treatment equipment, online temperature and flow monitoring systems, CIP systems and LIMS laboratory management systems. Update frequency is per milk tank, per batch, or real-time. Most documents are structured forms or reports with fixed fields. Fields include antibiotic test values (mg/kg), physical and chemical indicators, cleaning temperature (℃), duration (minutes) and other items, with clear units attached.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Dairy processing documents are mostly structured forms with fixed fields and real-time generated equipment reports. Single records have numerous fields and clear attached units. High update frequencies lead to large volumes of documents uploaded per batch. Documents from raw milk acceptance, heat treatment and other links are directly tied to production compliance. Field association relationships must be accurately preserved, and field integrity must not be compromised during chunking. Real-time generated online data documents have wide length fluctuations, ranging from a few lines to multiple pages. Chunking must adapt to structured content of varying lengths, to avoid losing field associations after splitting. Additionally, documents are exported from multiple systems, so minor format differences may exist. Parsing must be compatible with both standardized forms and non-strictly formatted reports.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the structured field density of dairy processing documents, preventing loss of complete parameter groups in individual chunks after splitting |
chunkSplitter | Split by paragraph + fixed field delimiter | Matches the structured form structure of documents, preserving association relationships between fields |
customPdfParse | Enable structured PDF parsing mode | Adapts to standardized report formats exported from multiple systems, improving field extraction accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Covers the time requirements for parsing multiple documents per batch, avoiding parsing interruptions due to timeouts |
chunkSettingMode | Manual configuration | Allows adjusting chunking parameters for different document types (such as acceptance records, CIP records) to adapt to business differences |
Three Common Mistakes
- Field parsing results are missing or disorganized after uploading structured production documents. The cause is that the
customPdfParseconfiguration is not enabled. General PDF parsing logic cannot recognize the fixed form structure of dairy processing documents. - Parsing tasks frequently trigger timeout errors. The cause is that the value of
PARSE_FILE_TIMEOUT_SECONDSis not adjusted. The default duration is insufficient to process multiple real-time generated equipment record documents per batch. - PDF parsing options cannot be displayed in the knowledge base. The cause is that startup parameters for third-party parsing tools are not configured in FastGPT v4.17.0, causing the locally deployed pdf-marker to not be callable by the platform.
How to Confirm the Configuration Is Correctly Set
- Upload a standard raw milk acceptance record PDF, and verify that the parsing result completely extracts all fixed fields and their corresponding units from the document.
- Upload multiple production documents of the same type, and check that parsing tasks complete within the preset
PARSE_FILE_TIMEOUT_SECONDSduration, with no timeout errors. - After adjusting the chunking configuration, upload an ingredient list document, and verify that the chunking results do not break the binding relationship between fields and their units.
- Enter the platform configuration page, and confirm that the settings of parameters such as
customPdfParseandchunkSplittermatch business requirements.
The values provided here are common starting points and should be measured against the reader's own samples.