What Data for This Category Looks Like
This category’s data originates from purchase orders, drawings and specification documents, supplier quality certificates, inspection equipment-collected data, historical quality records, and supplier portals. Update cycles cover each batch of incoming materials, monthly or quarterly supplier evaluations, and ad-hoc special audits. Daily processed documents include inspection specifications, sampling plans, incoming material reports, supplier audit reports, exception contact sheets, 8D correction reports, and concession acceptance approval forms. Fields include batch numbers, sampling ratios, non-conforming items, supplier numbers, and other relevant fields. Units use standard business units such as pieces, percentages, and batch numbers.
How These Characteristics Impact Document Parsing and Chunking
Multi-type structured documents require parsers to support extraction of tables, lists, and other structured content. This prevents chunking from truncating key business fields. High-volume, frequently updated documents require parsing workflows to support efficient task scheduling. This avoids overly long single-parsing times. Metadata includes business-related fields such as batch numbers and supplier IDs. Binding corresponding metadata during chunking enables association of business context during subsequent retrieval. Lengthy documents such as large supplier audit reports require proper chunking parameters. This avoids context breaks that reduce subsequent retrieval accuracy.
How to Configure Settings
The following configurations are based on FastGPT v4.17.0, and are tailored to the business data characteristics of this category.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of single chapters of business documents such as incoming material reports and 8D reports. Prevents chunking from truncating key business logic |
chunkSplitter | Split by document structure | Adapts to documents with fixed chapters such as inspection specifications and sampling plans. Retains semantic integrity of chapters |
customPdfParse | Enable structured parsing | Extracts tables and metadata fields from PDFs. Prevents loss of key information such as supplier numbers and batch numbers |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports upload requirements for large supplier audit reports and batch incoming material inspection summary documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses time requirements for large document parsing. Avoids failure due to mid-parsing timeout |
chunkSettingMode | Manual configuration | Adjusts chunking parameters for different business document types. Adapts to differences between inspection specifications and incoming material reports |
Three Common Configuration Errors
- Parsing fails and returns an error when uploading PDFs larger than 3 MB. This occurs when
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations are not adjusted. Default thresholds are exceeded, causing interception or timeout. - Retrieved text blocks do not include associated metadata such as batch numbers or supplier IDs. This happens when chunking configurations do not enable metadata binding. Business fields in documents are not linked to text blocks.
- Excel-format incoming material reports or supplier audit documents cannot be imported. This is due to missing parsing adaptation rules for Excel files. The system does not enable parsing support for non-PDF or non-text formats by default.
How to Verify Correct Configuration
- Upload a single PDF document under 1000 MB. Check that the parsing status shows completed, with no timeout or interception errors.
- Import an incoming material inspection specification document that contains tables. Check that parsed text blocks retain table structures and field information.
- Search for business keywords. Check that returned results include associated metadata fields such as batch numbers and supplier IDs.
- Batch upload multiple incoming material reports. Check that parsing tasks complete processing within the configured timeout parameters.
The values provided are common starting points and should be evaluated against applicable internal samples.