What the data for this category looks like
Typical data for this category comes from automotive, home appliance, construction machinery, and metal furniture painting lines. It includes documents such as painting process cards, paint batch sheets, paint mixing records, film thickness and color difference reports, oven curves, defect repair orders, and VOCs ledgers. Data sources cover paint supplier TDS/SDS, spray booth and oven operation data, colorimeter/film thickness gauge test results, environmental monitoring data, and MES system records. Update frequency follows per paint batch, per shift, and continuous collection. Documents include multiple formats such as structured parameters, time-series curves, ledger details, and more.
What constraints these characteristics impose on the document parsing and chunking step
The multi-type documents and high-frequency update characteristics of this category impose multiple constraints on document parsing and chunking. Different document formats require adapted parsing logic; for example, time-series curve documents must retain time period associations, and structured parameter documents must avoid splitting field combinations. High-frequency updated batch and ledger data require chunk granularity to match business audit windows, and cannot split associated parameters of a single batch. Multi-source data requires retaining field associations across documents; for example, the corresponding relationship between paint batches and paint mixing records must not be broken by chunking. In addition, compliance-related data in VOCs ledgers must ensure that complete record entries are retained after parsing.
How to Configure
This configuration scheme is based on FastGPT v4.17.0, and adapts to the document parsing and chunking needs of the coating and painting industry:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field density of texts such as painting process cards and paint mixing records, avoiding splitting critical parameter combinations of a single batch |
chunkSplitter | By paragraph + semantic boundary | Adapts to time-series/structured documents such as oven curves and color difference reports, retaining the complete logic of a single report |
customPdfParse | Enabled | Adapts to coating documents containing instrument screenshots and tables, extracting embedded test data such as film thickness and color difference |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to large oven curve and continuously collected environmental monitoring data files, avoiding parsing timeouts |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types such as process cards and VOCs ledgers, matching the association logic required for business audits |
Three Common Misconfigurations
- Uploading HTML documents for paint interfaces generated by javadoc results in no parsed content. The cause is that custom HTML parsing rules are not enabled, and the default parser cannot recognize industry-specific interface parameter table structures.
- Uploading PDF documents containing instrument test screenshots fails to retrieve film thickness and color difference values in the images. The cause is that OCR recognition is not enabled; only the plain text embedded in the PDF is extracted, and embedded instrument test images are not processed.
- Adjacent paint batch sheets and paint mixing records after chunking are split into different chunks. The cause is that
chunkSizeis set too small, splitting associated business documents of a single batch into multiple independent chunks, breaking the parameter association required for audits.
How to Verify Correct Configuration
- Upload a single painting process card, check if the parsed text chunks retain complete paragraphs of process parameters and operation steps.
- Upload a PDF document containing an oven curve, confirm that the parsed result includes the time-series temperature data corresponding to the curve, with no missing field splits.
- Upload javadoc-formatted paint interface documents, verify that the parsed result includes the interface's request parameters and return value fields.
- Upload multiple associated documents (such as paint batch sheets + paint mixing records), check if associated fields are in the same chunk or adjacent chunks.
The values given are common starting points and should be measured against the reader's own samples.