What this category's data looks like
Data for this category comes from enterprise EAM/CMMS systems, equipment sensor collection terminals, operator daily point inspection records, maintenance history archives, spare parts inventory ledgers, and statutory special equipment inspection reports. Update frequencies cover shift-by-shift inspections, daily/weekly maintenance plan updates, and real-time records when faults occur. Daily documents include structured inspection forms, maintenance plans, work orders, semi-structured fault analysis reports, and fixed-format special equipment inspection records. Document fields include equipment number, inspection items, measured parameters such as temperature and pressure, spare part model, inspection validity period, and more. Some scanned documents retain handwritten inspection data.
What constraints these characteristics impose on the "document parsing and chunking" link
Mixed data from multiple sources requires parsing tools to support both structured table extraction and OCR recognition for non-scanned and scanned documents. This prevents missing business data across different formats. High-frequency updated real-time records require parsing processes to have low latency. This adapts to the needs of teams quickly retrieving maintenance reference documents. The hierarchical structure of documents, such as workshop-device-component ledger classification, requires retaining contextual associations during chunking. This avoids splitting cross-level business logic. Fixed-format statutory inspection records require accurate identification of field positions. This ensures key information can be quickly located during subsequent audits. The model field of spare parts lists needs to avoid recognition confusion. This ensures the accuracy of maintenance spare part matching.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category primarily consist of short paragraph inspection records and work order content. This range retains complete context for individual business records, avoiding splitting of key fields and associated descriptions. |
chunkSplitter | Split by paragraph + title | Documents include equipment ledger hierarchical titles and inspection item groups. Splitting by title preserves business logic groupings, avoiding contextual breaks caused by cross-group chunking. |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Some special equipment inspection record PDFs contain multi-page complex tables. A longer timeout configuration ensures complete content reading, avoiding parsing failures mid-process. |
customPdfParse | Enable OCR mode | Some scanned paper inspection records have no native text content. OCR mode accurately extracts printed or handwritten inspection data, adapting to parsing needs for non-digitized documents. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Large aggregated equipment ledger PDFs or multi-batch maintenance work order collections typically do not exceed this size, adapting to business scenarios of batch document upload and parsing. |
chunkSettingMode | Manual configuration | Documents in this category have significant structural differences, ranging from structured inspection forms to semi-structured fault reports. Manual configuration allows flexible adjustment of chunking rules, adapting to different types of business documents. |
Three common errors
- Phenomenon: After uploading a special equipment inspection record PDF, the chunk preview shows the file content cannot be read. Cause: The OCR mode of
customPdfParseis not enabled. The document is a scanned version with no native text. Basic parsing cannot extract valid content. - Phenomenon: After deploying FastGPT v4.17.0, the log shows an OCR error when parsing inspection records. Cause: The language pack required for OCR recognition is not configured, or the uploaded document contains non-standard printed fonts. This causes the OCR recognition process to fail.
- Phenomenon: After configuring Feishu Knowledge Base synchronization, documents in PPT and PDF formats are not obtained. Cause: The read permission for the corresponding document types is not enabled in the Feishu Knowledge Base permissions, or the synchronization option to support unstructured documents is not checked in the synchronization configuration.
How to confirm the configuration is correct
- Upload a single structured inspection form PDF. View the chunk preview. Confirm that the complete content of each inspection record is not split. The title and corresponding inspection items are in the same chunk.
- Upload a scanned maintenance work order document. Check whether the analysis result includes fields such as handwritten or printed fault descriptions and maintenance personnel signatures. No obvious recognition omissions should be present.
- Adjust the value range of
chunkSize. Compare the chunking results under different configurations. Select the configuration scheme that retains the most complete business logic. - Test uploading a document of the maximum allowed size. Confirm that the parsing process does not trigger a timeout error. Verify the rationality of the
PARSE_FILE_TIMEOUT_SECONDSconfiguration.
The values provided are common starting points and should be evaluated against the reader's own samples.