What data looks like for this category
Daily documents for welded structural component manufacturing include welding procedure qualification records, welding procedure specifications, filler metal issue records, welder qualification records, weld inspection reports, repair work orders, and more. Data sources cover design drawings, material quality certificates, welding equipment parameters, filler metal inventory systems, non-destructive testing systems, and personnel qualification ledgers. Document structures vary significantly: some use paragraph-style process descriptions, while others are table-heavy record files. Fields include weld number, filler metal grade, test results, personnel qualification identification numbers, and more. Units change based on document type, with update frequencies per weld, per batch, or per shift.
What constraints do these characteristics impose on document parsing and chunking
The diverse document types, significant structural differences, and high update frequency of this category create multiple constraints for the document parsing and chunking process. First, differences in structure across documents require the parsing engine to support multiple formats including paragraphs and tables. Some non-destructive testing reports include images, so the binding relationship between images and associated text must be preserved to avoid splitting critical information. Second, frequently updated documents require fast parsing to avoid delaying subsequent production workflows. Third, some documents contain rigidly required qualification and process parameters. Context associations must be retained during chunking to ensure complete access to critical information during retrieval. Fourth, documents from multiple sources may have format inconsistencies. Unified parsing logic is needed to ensure consistent field extraction.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Welded structural component documents include both paragraph-style process descriptions and table-heavy inspection records. This range balances context completeness and retrieval accuracy |
chunkSplitter | Layer by paragraph + title | Daily documents include multiple structures such as process specifications and inspection reports. Layer by title preserves the logical structure of the document and avoids splitting key associated information |
customPdfParse | Enabled | Most documents in this category are in PDF format, including weld flaw detection charts and process parameter tables. Enabling custom parsing preserves table structures and chart-associated text |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Single non-destructive testing reports may include multiple flaw detection images, leading to long parsing times. This range avoids timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk uploaded filler metal issue ledgers and welder qualification summary files may be large. This upper limit supports bulk upload requirements |
chunkSettingMode | Manual configuration | Chunking requirements vary across document types such as procedure qualification records and repair work orders. Manual configuration allows flexible parameter adjustment |
Three common errors
- Scenario: After modifying a Java interface document to TXT format and uploading it, the parsing result is empty with no valid interface parameter fields. Cause: Changing the file suffix does not alter the actual file format. The document parsing engine cannot recognize the structured syntax of Java interfaces, and processing as plain text leads to loss of critical information.
- Scenario: After uploading documents using the chunk mode of the pushdata API, the system remains in indexing status for a long time with no progress updates. Cause:
chunkSizeis not correctly configured to match the document structure, resulting in too many chunks exceeding the system processing queue limit, orPARSE_FILE_TIMEOUT_SECONDSis set too short, causing parsing interruptions and retry loops. - Scenario: After uploading HTML interface documents generated by Javadoc, no valid parsed content is returned. Cause: The HTML documents have complex tag structures, and custom parsing configuration is not enabled, so the engine cannot extract structured parameters and descriptive text from the interface definitions.
How to confirm the configuration is correct
- Upload a single typical document such as a welding procedure specification PDF, and view the parsed chunk list in the document management interface of FastGPT v4.17.0. Confirm that each chunk contains a complete logical paragraph or table unit.
- Upload a batch of filler metal issue record files, check the upload progress and parsing time, and confirm that no timeout or file size limit prompts are triggered.
- Upload a non-destructive testing report that includes images, and confirm that the parsed result includes the detected values and weld number information associated with the images.
- Upload a test document using the chunk mode of the pushdata API, view the indexing progress logs, and confirm that there are no long-running hanging statuses.
The values provided are common starting points and should be measured against the reader's own samples.