What Data for This Category Looks Like
Documents generated in daily operations for this category include bath solution analysis records, process parameter cards, fixture usage records, film thickness and adhesion reports, hazardous waste management ledgers, wastewater monitoring records, and more. Data is sourced from customer surface treatment specifications, bath solution test results, rectifier operating data, online water quality monitoring records, and hazardous waste management ledgers. Update frequencies cover per bath cycle, per shift, and fixed monitoring cycles. Most documents are structured forms or reports with fixed parameter items. Some records include process parameters, monitoring values, and compliance ledger fields.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
This category has a high proportion of structured documents, and includes core parameters closely tied to process effectiveness and compliance. Parsing must retain the associative relationships between fields. Frequently updated documents per bath cycle and per shift create parsing pressure during batch uploads, so single-file parsing duration must be controlled. Documents mixing structured forms and scanned file formats require parsing tools that support both text extraction and OCR adaptation. Some compliance ledgers require full retention of the original field order, to avoid breaking parameter associations during chunking. Missing core parameters will directly impact subsequent process adjustments and compliance reviews, so parsing accuracy requirements are high.
How to Configure Settings
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Most documents for this category contain continuous process parameters and report fields; this range preserves the complete associative relationship of a single parameter group |
chunkSplitter | Split by paragraph and form block | Adapts to chunking needs for structured forms and paragraph-style process descriptions |
customPdfParse | Enabled | Supports form structure recognition for electroplating industry documents, improving parameter extraction accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Covers parsing duration for bath solution records and ledger files uploaded in single batches |
chunkSettingMode | Manual configuration | Allows adjustment of chunking rules for different document types (e.g., process cards, hazardous waste ledgers) |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to upload requirements for multiple process documents in a single batch |
Three Common Misconfigurations
- Symptom: No parsing completion prompt after uploading a PDF, and search test results are empty. Cause: The
customPdfParseconfiguration is not enabled, orPARSE_FILE_TIMEOUT_SECONDSis set too short, causing parsing to terminate before completion. - Symptom: Some PDF files can be recognized, while others show empty content. Cause: OCR parsing is not enabled for scanned process cards, or
chunkSizeis set too small, causing core parameter chunks to be split and omitted. - Symptom: Parsed document chunks are disorganized, with core parameters such as bath solution concentration and film thickness values split into different chunks. Cause:
chunkSplitteris set to split by pure characters, failing to adapt to form structures and breaking parameter associations.
How to Verify Correct Configuration
- Upload a typical bath solution analysis record PDF, view the parsed text preview, and confirm that core parameters such as bath solution concentration, temperature, and current have been fully extracted.
- Run a search test, enter the keyword "bath solution temperature", and confirm that the returned results include the complete context chunk of the corresponding parameter.
- Upload the largest-sized test file available, and confirm that the parsing progress bar completes normally without errors.
- Upload a scanned film thickness report, and confirm that film thickness values and adhesion determination fields can be extracted after OCR parsing.
The values provided are common starting points and should be measured against the reader's own samples.