What the Data for This Category Looks Like
Daily documents for this category include control plans, process flow diagrams, work instructions, first article and inspection records, SPC reports, PPAP materials, 8D reports, and more. Data sources include customer drawings, special characteristic lists, ERP/MES systems, measurement and inspection tool data, equipment process parameters, and supplier quality certificates. Updates are collected continuously per batch and shift. Most documents contain structured fields and standardized units such as dimensional tolerances, process parameters, batch numbers, and others. Some documents must meet specific customer format requirements.
What Constraints These Characteristics Impose on Document Parsing and Chunking
The multi-source heterogeneous document structure, high-frequency update rhythm, and customer-specific format requirements of this category create multiple constraints for document parsing and chunking. The proportion of structured fields varies widely across different document types. Parsing tools must accurately identify key information such as special characteristics and dimensional tolerances, and avoid splitting parameter groups across pages. High-volume, high-frequency update tasks require parsing processes to be stable, and adapt to the processing needs of multiple documents per batch. Mandatory customer format specifications require that original field associations be retained during chunking. This ensures that subsequent information extraction for bid documents and quotation preparation matches customer requirements, and prevents loss of key parameters due to chunking errors. Additionally, the need to integrate multi-source data requires the parsing link to support input files of different formats, and avoid data omission due to format mismatches.
Configuration Settings
This document is written based on the configuration logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Most documents in this category include structured parameters and long text descriptions. This range balances information integrity and chunk granularity, and avoids splitting key parameters |
chunkSplitter | Split by paragraph + filter headers and footers | Daily documents have standardized headers and footers. Redundant company logos and version information must be filtered out, and splitting by natural paragraphs preserves business logic associations |
customPdfParse | Enabled | Most documents in this category have customer-specific format requirements, such as fixed layouts for special characteristic lists. Custom parsing can adapt to such scenarios |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single-batch bid documents may include multiple large PDF drawings and reports. This configuration adapts to the total file size requirement for batch uploads |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large, multi-page documents requires sufficient time. This setting avoids interrupting batch tasks due to timeout, and adapts to the processing rhythm of single batches |
chunkSettingMode | Manual configuration | Chunking rules must be adjusted for different document types (such as SPC reports and 8D reports) to meet the differentiated needs of business scenarios |
Three Common Mistakes
- When using the parsing tool to process hundreds of pages of bid PDFs, parsing fails, but documents with tens of pages can be parsed normally. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The parsing duration of large documents exceeds the default threshold, causing the task to interrupt. - When calling a locally deployed PDF parsing tool, a "Cannot read properties of undefined" error occurs. The cause is that the document contains customer-specific embedded format elements, and the parsing tool does not adapt to the standardized document structure of this category, causing parsing to interrupt.
- After chunking, the retrieved documents contain a large amount of repeated general parameter content, such as batch numbers and process parameters. The cause is that chunking deduplication rules were not set for the repeated business fields of this category, leading to redundant information being extracted multiple times.
How to Verify Proper Configuration
- Upload a single typical document, such as complete PPAP materials, and check if the parsed text includes all key fields, with no format confusion or loss of key information.
- Upload a batch document queue, and verify that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations adapt to the single-batch task volume, with no timeouts or task interruptions. - After adjusting the chunking configuration, compare results across different chunking rules to confirm that key parameter groups are not split across pages, and meet business extraction requirements.
- Test the chunking deduplication function to verify that repeated general business fields are correctly filtered, reducing redundant content in subsequent retrievals.
The values provided are common starting points and should be measured against the reader's own samples.