What Data for This Category Looks Like
The core data for this category comes from manufacturing enterprise IQC, SQE, procurement quality, and supplier engineering departments. Daily covered documents include inspection specifications, sampling plans, incoming material reports, supplier audit reports, 8D reports, concession acceptance approvals, and similar documents. Data sources include purchase orders, drawings and specifications, supplier quality certificates, inspection equipment records, historical quality data, and supplier portal content. Update frequency is adjusted dynamically based on incoming material batches, monthly/quarterly supplier evaluations, and irregular audits. Most documents have clear fields such as batch numbers, inspection items, non-conformity judgments, and rectification requirements. There is no unified fixed format, and some documents include tables and structured data.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link
Heterogeneous data from multiple sources requires the parsing link to support multiple file formats and structured content, to avoid losing key business fields such as batch numbers and inspection items. Frequently updated dynamic data requires the chunking link to support fast batch upload and parsing, to adapt to temporary document submission requirements for each batch of incoming materials. The large variation in document structure and the presence of structured tables require chunking rules to balance semantic completeness and field relevance, to avoid merging content across business logic into the same semantic block. Additionally, the accuracy of quality documents directly affects production risks, so the chunking link must ensure that core judgment information is not truncated or split.
How to Configure Settings
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category mix short fields and long text content. This range balances context completeness and retrieval accuracy, and avoids truncation of key business information |
chunkSplitter | Paragraph + semantic chunking | Documents in this category include clearly structured content such as inspection specifications and 8D reports. Semantic chunking preserves the integrity of business logic and avoids merging content across links |
customPdfParse | Enabled | Most documents in this category are standard manufacturing PDFs with tables and batch numbers. Custom parsing can accurately extract table and structured field information |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Collections of inspection reports for a single batch of incoming materials may occupy large storage space. This value covers upload requirements for most large-size documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-size supplier audit reports takes a long time. This duration avoids timeout interruptions during the parsing process |
chunkSettingMode | Manual configuration | Documents in this category have large structural differences. Manual configuration can adapt to different types of quality documents and optimize chunking effects |
Three Common Misconfigurations
- When uploading large-size supplier audit reports, an "offset out of range" error appears at 90% progress. The cause is failure to adjust the
UPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDSparameters, leading to large file parsing timeout or insufficient memory resources. - A large number of duplicated inspection item descriptions appear after chunking. The cause is failure to set a reasonable
chunkSplitterrule, leading to chaotic semantic block boundary division and repeated interception of the same business content. - The number of retrieved incoming material inspection documents does not match expectations. The cause is failure to configure chunking association rules based on the field characteristics of documents in this category, leading to failure to correctly identify some key chunks.
How to Confirm Configurations Are Correctly Applied
- Upload a standard incoming material inspection report, check the parsed chunk content, and confirm that core fields such as batch numbers and inspection items are fully retained.
- Upload a large-size supplier audit report, confirm that there are no timeout or offset errors during the parsing process, and that there are no abnormal records in the upload log.
- Test retrieval of preset inspection specification documents, confirm that the number of retrieved chunks meets business scenario requirements, and adjust chunking parameters as needed.
- Batch upload multiple different types of quality documents, check that the parsing status of each document in the knowledge base is successful, and there are no network error prompts.
The values provided are common starting points and should be measured against the reader's own samples.