What Data Looks Like for This Category
Data for this category primarily comes from order design systems, sheet and wood batch records, CNC cutting and drilling equipment, ERP/MES systems, and moisture content testing equipment. Daily documents include order breakdown drawings, cutting lists, edge banding and drilling programs, coating process documents, hardware lists, and trial assembly and packaging records.
Data updates trigger with orders, daily, or per material batch. Fields include panel dimensions, wood moisture content, hardware model numbers, order numbers, and more. Units include millimeters, percentage, piece count, and others.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Custom order-driven production models generate large volumes of personalized panel data. A single document often contains tens of thousands of table rows or 100,000+ Chinese characters. This creates clear requirements for chunk granularity and parsing efficiency.
Diverse document structures mix table parameters, process text, and program code. Contextual connections between different content types must be preserved. Frequently updated production data requires the parsing process to have sufficient fault tolerance. This avoids data loss in production links caused by timeouts or improper chunking. It also ensures accurate matching of personalized fields.
Configuration Settings
This guidance is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to short fields such as single panel parameters and hardware lists, avoiding excessive cross-order data in a single chunk that causes contextual confusion |
chunkSplitter | Split by paragraph + table | Adapts to the mixed structure of order breakdown drawings and process documents, preserving the logical connection between process steps and panel parameters |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents parsing interruptions due to timeout when processing 100,000-character Word documents or 15,000-row Excel data |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of full production documents for a single order batch |
chunkSettingMode | Manual subdivision | For customized order documents, flexibly adjust chunk granularity to match equipment inspection and maintenance query scenarios |
Three Common Configuration Mistakes
- Incomplete command prompts returned after parsing Excel documents. The cause is that the default
chunkSizesetting is too large. A single chunk containing tens of thousands of rows of data causes context overflow, making the model unable to recognize valid content. - Parsing failure status occurs when parsing large Word documents. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default duration is insufficient to complete the full parsing process for 100,000+ characters. - Associative information between panels and corresponding processes is lost after chunking. The cause is not selecting the
chunkSplitterset to split by paragraph + table. Direct splitting by pure characters destroys the logical structure of the document.
How to Verify Correct Configuration
- Upload a single 100,000-character Word document, confirm that the parsing status completes within the duration set by
PARSE_FILE_TIMEOUT_SECONDS. - Upload a 15,000-row Excel test file, check that the character count of each chunk falls within the range set by
chunkSize. - Randomly sample chunking results, confirm that each chunk contains complete panel parameters, process steps, or hardware list entries.
- Submit a query related to equipment inspection, verify that the matching degree between the returned chunk content and the query question meets expectations.
The values listed here are common starting points. They should be evaluated against the reader's own samples.