This document is compatible with FastGPT v4.17.0.
What data looks like for this category
Data sources for welded structural component manufacturing include design drawings, material quality certificates, welding equipment parameters, filler metal inventory, non-destructive testing systems, and personnel qualification ledgers. Daily documents cover welding procedure qualifications, welding procedure specifications, filler metal usage records, welder qualification records, weld inspection reports, and repair orders. Supported formats include plain text, structured tables, and scanned documents. Update frequency is per weld seam, per batch, or per shift. Fields include weld number, filler metal grade, welder qualification number, test values, repair times, and more. There is no unified fixed format for the data.
What constraints these characteristics impose on document parsing and chunking
The heterogeneous document sources, high-frequency updates, and specialized field traits of this category create multiple constraints for document parsing and chunking. Mixed-format documents require switching parsing strategies. Scanned documents need OCR adaptation. Structured tables must retain row and column associations to avoid chunk breaks. High-volume, frequently updated documents can trigger parsing timeouts or interruptions. A reasonable timeout and resume upload mechanism must be configured. Specialized fields need precise context binding. Chunking must not split the association between procedure specifications and corresponding inspection records. This ensures logical integrity for subsequent ledger summarization.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Welded structural component documents contain specialized terminology and associated fields. Chunk length matches the information density of a single weld seam or single inspection report, to avoid splitting associated content |
chunkSplitter | Switch based on document type | Use table-aware chunking for structured table documents, semantic chunking for plain text, and paragraph-based chunking for scanned documents after OCR. This adapts to heterogeneous document characteristics |
customPdfParse | Enabled | Most welding documents are in PDF format. Enabling custom parsing preserves table structure and text hierarchy, avoiding post-parsing formatting chaos |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for large design drawings and bulk filler metal usage records, preventing large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the processing time of bulk document parsing, preventing frequent updates from triggering parsing interruptions due to timeouts |
chunkSettingMode | Manual configuration | Adjust chunking parameters for specialized documents without relying on automatic mode, ensuring associated fields are not split |
Three common configuration errors
- Symptom: Bulk welding document uploads and parsing interrupt mid-process. Restarting Docker does not restore parsing progress. Cause: No reasonable
PARSE_FILE_TIMEOUT_SECONDSconfigured. Bulk document parsing exceeds the threshold and is force-terminated. No resume upload mechanism is enabled. - Symptom: After uploading a scanned weld inspection report, the parsed result has empty fields. Cause:
customPdfParseis not enabled. The default parsing cannot accurately extract table fields from scanned documents. - Symptom: When uploading a single large welding procedure specification PDF, the interface shows parsing success but no corresponding chunks appear in the knowledge base. Cause:
chunkSizeis set too small, leading to excessive chunks that are automatically filtered by the system. OrUPLOAD_FILE_MAX_SIZEdoes not match the file size, leading to file truncation.
How to confirm correct configuration
- Upload a typical welding procedure specification PDF. Check if the parsed text retains the row and column structure of tables. Confirm that the
customPdfParseconfiguration is active. - Upload a batch of small filler metal usage records. Verify that the parsing process does not interrupt. Confirm that
PARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEmatch the current upload scale. - Split a document containing weld numbers and corresponding test results. Check if chunks retain context associations for fields. Confirm that
chunkSizeandchunkSplitteralign with business requirements. - Upload a scanned non-destructive testing report. Verify that OCR-parsed text can be correctly chunked. Confirm that the parsing strategy adapts to the document type.
The values provided are common starting points and should be measured against the reader's own samples.