This document is compatible with FastGPT v4.17.0.
What this category of data looks like
Data for this category comes from a series of documents produced by manufacturing enterprise change management teams. These documents include ECN/ECR forms, change assessment sheets, drawings and BOM version records, process verification reports, switchover plans, inventory disposal documents, and customer approval documents.
Data sources cover PLM, ERP, and MES systems, supplier materials, verification test results, and customer-specific requirements. Updates are triggered irregularly with each process or engineering change. Documents contain structured change fields, version numbers, effective dates, and associated material or process parameters. Some documents include embedded drawings or complex tables, with no unified fixed format.
What constraints this category’s characteristics impose on document parsing and chunking
The multi-source heterogeneous, irregularly updated, and mixed structured and unstructured nature of this category of data creates multiple constraints for document parsing and chunking.
Documents from different sources have widely varying formats: PDFs with embedded drawings, Excel files with complex tables, and plain text change descriptions. Parsing tools must adapt to multiple encoding and formatting rules.
Documents include both structured change fields and version numbers, as well as unstructured verification descriptions. Parsing and chunking workflows must accurately distinguish core change content from associated attachment information.
Irregularly updated versioned documents require chunking to retain version identifiers, prevent mixing of old and new change content, and control chunk granularity to accurately associate chain impacts across design, material, and process elements.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of change descriptions and verification content in this category of documents, avoiding splitting that breaks change logic associations |
chunkSplitter | Split by paragraph + heading | Matches the structured hierarchy of change items and version descriptions in documents, retaining contextual associations |
customPdfParse | Enable embedded content extraction | Adapts to PDF documents containing embedded drawings and BOM tables, fully extracting non-text change information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Addresses parsing time for this category of documents with embedded large-size drawings or complex tables, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Compatibility with large change package files containing multiple version drawings and verification reports |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different types of change documents (such as ECNs, process verification reports) to adapt to differentiated content structures |
Three Common Mistakes
- An error "the argument ‘windows-1252’ is invalid encoding" occurs when uploading change-related PPT documents. The cause is that the document uses a non-UTF-8 encoding format, and no compatible encoding parsing rules are configured.
- Document source information cannot be associated after chunking, making traceability verification for equipment inspection and maintenance Q&A impossible. The cause is that document metadata extraction configuration in
customPdfParseis not enabled, and file identification fields are not retained. - When uploading XLSX-format BOM or change lists, multi-row tables are incorrectly split into independent chunks, losing the association between materials and changes. The cause is that chunking rules for splitting by table row groups are not configured, and the default chunking logic damages table structure.
How to Verify Proper Configuration
- Upload a typical ECN document, check if the parsed text blocks retain core fields such as change number and effective date, with no obvious content truncation.
- Upload a PDF change report containing embedded drawings, confirm that the parsing result includes text descriptions or annotation information corresponding to the drawings, with no missing content.
- Trigger a chunking operation, check that the parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold, with no timeout errors. - Review the chunked text blocks, confirm that each block contains a complete change logic unit, with no cross-paragraph splitting.
The values provided are common starting points and should be measured against the reader's own samples.