Cross-Review of Technical Documentation for Electroplating and Chemical Surface Treatment: Document Parsing and Chunking

Typical entities in this category include electroplating plants, electronic connector workshops, and hardware surface treatment facilities. Daily

Data Profile for This Category

Typical entities in this category include electroplating plants, electronic connector workshops, and hardware surface treatment facilities. Daily generated documents cover bath solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data sources include customer surface treatment specifications, bath solution test results, rectifier operation data, online water quality monitoring results, and hazardous waste management ledgers. Update frequency varies by business scenario: per bath cycle, per shift, and per fixed monitoring requirements. Documents contain structured numerical fields and long text records. Field units use industry-specific measurement identifiers.

Constraints on Document Parsing and Chunking

Documents in this category have high update frequencies, diverse types, and specialized fields. These traits create multiple constraints for the parsing and chunking process. First, multiple document types require adapted parsing rules. General-purpose parsers cannot fully handle structured extraction. Second, high-volume documents updated frequently need support for large file uploads and long-duration parsing to avoid mid-process interruptions. Third, specialized fields and units must retain their associated relationships during chunking. This ensures subsequent retrieval can match bath solution parameters with corresponding film thickness test results. Fourth, parsing accuracy directly affects the effectiveness of subsequent cross-review. Field separation or omission must be avoided.

Configuration Settings

Configuration ItemRecommended ValueRationale
chunkSize800–1200 charactersDocuments include short numerical fields and long text records. This range balances semantic completeness and retrieval efficiency, avoiding separation of process parameters and test results from the same batch
chunkSplitterSplit by title + paragraphAdapts to documents with structured titles such as process parameter cards and bath solution analysis records, retaining the association between titles and corresponding fields
PARSE_FILE_TIMEOUT_SECONDS600 secondsMonthly hazardous waste ledgers and wastewater monitoring summary files uploaded in batches have large sizes. This duration prevents parsing timeouts for single files
UPLOAD_FILE_MAX_SIZE1000 MBWorkshops need to upload monthly aggregated Excel files of bath solution analysis. This value covers file size requirements for most business scenarios
customPdfParseEnable custom parsing rulesFor fixed-format film thickness and adhesion reports, this allows extraction of specified fields and retention of unit information, improving parsing accuracy
chunkSettingModeManual configurationParameters for chunking need adjustment for different document types, to adapt to multiple business documents such as bath solution records and hazardous waste ledgers

Three Common Misconfigurations

  • Scenario: No parsed content appears after uploading an Excel bath solution analysis record, and no error is displayed in the background. Cause: The customPdfParse configuration for Excel structured extraction rules is not enabled. The default parser cannot recognize specialized fields such as bath solution concentration and batch number.
  • Scenario: Batch upload of multiple monthly wastewater monitoring records is interrupted mid-process, and parsing cannot resume after restarting Docker. Cause: PARSE_FILE_TIMEOUT_SECONDS is not adjusted to a reasonable range, or UPLOAD_FILE_MAX_SIZE is set too small, leading to parsing timeouts for large summary files or exceeding upload limits.
  • Scenario: Parsed chunks cannot associate bath solution parameters with film thickness data, and model responses deviate from document content. Cause: chunkSize is set too large, causing bath solution records and corresponding film thickness reports from different batches to be merged into the same chunk, losing field association relationships.

How to Verify Proper Configuration

  • Upload a standard Excel file of bath solution analysis, check if parsed text includes specified fields such as bath solution concentration and test time.
  • Upload a hazardous waste ledger file larger than 500 MB, confirm no timeout interruption prompt appears for parsing progress.
  • Adjust chunkSize to 800 characters, verify that parsed chunks do not separate process parameters and film thickness test results from the same batch.
  • Check the background parsing logs for FastGPT v4.17.0, confirm no error records for file parsing timeouts or missing fields.

The values listed here are common starting points. They should be evaluated against the relevant samples for the intended deployment scenario.