What the data for this category looks like
Core documents for welded structural component manufacturing include welding procedure qualification records, welding process specifications, welding consumable issue records, welder qualification records, weld inspection reports, and repair orders. Data sources cover design drawings, material quality certificates, welding equipment parameters, welding consumable warehouses, non-destructive testing systems, and personnel qualification ledgers. Update frequency follows per weld, per batch of materials, or per shift operation. Single documents typically include fields such as consumable grade, base material specification, welder certification number, non-destructive testing ratio, and repair times. Units include millimeters, kilograms, hours, and others.
What constraints do these characteristics impose on the document parsing and chunking link
Documents have high structural complexity, with large amounts of tables and parameter text. Chunking must retain key associated fields like weld numbers and consumable information to avoid breaking process logic. Heterogeneous data sources have format differences, so parsing rules must adapt to multiple document types including PDF reports and CSV ledgers. High-frequency single-batch data requires chunk size to match work units, while controlling chunk count to avoid redundant indexing. Additionally, document errors directly affect structural safety, so the parsing link must ensure no omission of key qualification and testing data.
How to configure
This configuration is adapted for FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Welding process specifications have dense single-segment parameters. Chunking must cover complete process steps to avoid splitting welding sequence logic |
chunkSplitter | Split by paragraph + table row | Documents contain many structured tables and process descriptions. Splitting by table row preserves the integrity of single weld parameter groups, and splitting by paragraph connects process logic |
customPdfParse | Enabled | Non-destructive testing reports and qualification records are mostly formatted PDFs. Enabling custom parsing retains key fields like weld numbers and test results |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading of multiple consumable issue records and non-destructive testing reports at the team level, adapting to batch document upload needs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large pressure vessel procedure qualification PDFs include multi-page test data, requiring sufficient time for format parsing and field extraction |
chunkSettingMode | Manual configuration | Chunking rules must be adjusted for different document types such as qualification ledgers and process specifications, adapting to heterogeneous document formats |
Three common mistakes
- Phenomenon: When uploading welding process documents over 10 MB, vectorization exceptions occur after generating 1000+ chunks, and recovery happens after retries. Cause: The lower limit of
chunkSizeis not restricted. Too small chunks cause redundant vector library indexing, triggering platform current limiting thresholds. - Phenomenon: When parsing CSV files for consumable issue records, some consumable grade fields are empty. Cause:
chunkSplitteris not configured to bind fields by column for structured tables, leading to loss of column association relationships during parsing. - Phenomenon: Parsing multi-page welder qualification records results in parsing timeout errors. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a sufficient duration, and single document parsing time exceeds the default threshold.
How to confirm correct configuration
A typical weld inspection report PDF is uploaded, and the chunk preview interface is reviewed to confirm each chunk contains complete weld numbers and test results. Batch process documents over 10 MB are uploaded, and upload progress and parsing logs are reviewed to confirm current limiting exceptions are not triggered. CSV files for consumable issue records are tested for parsing, to confirm all fields are correctly extracted and associated. chunkSize is adjusted to the 800–1200 character range, and adjacent chunks after chunking are verified to connect complete welding process steps.
The values provided are common starting points and should be measured against the reader's own samples.