What this category of data looks like
This category of data comes from regulatory standards, online environmental monitoring equipment, gas detectors, personnel qualification files, equipment isolation lists, and supervision platforms. Daily documents include risk identification records, hot work permits, confined space entry permits, lifting operation permits, environmental monitoring ledgers, hazardous waste disposal lists, and accident hidden danger rectification reports. Most documents use a form-based or segmented structure. Fields include operation time, detection values, qualification numbers, disposal units, and more. Common units include cubic meters, milligrams per cubic meter, and person-times. Data updates occur when a single operation is completed, real-time monitoring data is uploaded, or periodic inspections are finished.
What constraints do these characteristics impose on document parsing and chunking
The form-based structure of operation permits requires that chunking retains field relevance. It must avoid splitting content that spans related fields, to ensure complete information related to operation permits can be retrieved during Q&A. The high-frequency update characteristic of real-time monitoring data requires parsing to support incremental chunking logic. This avoids repeated processing of full historical data. The multi-field correlation of hazardous waste ledgers requires chunking to retain contextual relevance. This ensures corresponding qualifications and disposal records can be associated during retrieval. Documents exported from supervision platforms have diverse formats. Parsing rules must be adapted to different form structures to ensure proper splitting of all document types. Single-operation documents have strict timeliness requirements. The parsing workflow must match the pre-operation risk identification time window, to avoid delays that impact process progress.
Configuration Recommendations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field lengths of multi-field documents such as operation permits and monitoring records, avoiding splitting content that spans related fields |
chunkSplitter | Split by form paragraphs and field separators | Matches the form-based structure of documents in this category, retaining contextual relevance of fields and paragraphs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long documents such as hazardous waste ledgers and accident rectification reports, avoiding disruption to pre-operation risk identification processes |
customPdfParse | Enabled | Adapts to PDF documents with embedded forms and images exported from supervision platforms, preserving original layout and field structure |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports bulk import of department-level documents such as operation permits and monitoring records, meeting bulk data processing needs |
Three Common Configuration Mistakes
- Uploading a PDF document with embedded images results in a request failure message in the interface, and parsing takes longer than expected. The cause is that the
customPdfParseconfiguration is not enabled, and parsing rules for PDF documents with embedded images are not adapted, leading to parsing time exceeding thePARSE_FILE_TIMEOUT_SECONDSsetting. - Uploading tabular-format monitoring records or hazardous waste ledgers results in partial field data loss, leading to incomplete knowledge base training data. The cause is that
chunkSplitteris not set to split by table rows/columns, causing chunking to split content with associated table fields. - Exporting a knowledge base and importing it to a new server results in loss of the original document chunking structure and associated content. The cause is that the official standard format is not used to package the knowledge base, and directly packaging with Excel destroys field and chunking association relationships.
How to Verify Correct Configuration
- Use FastGPT v4.17.0, upload a single hot work permit PDF document, check if parsed chunks retain relevant content such as operation time and guardian qualification information.
- Upload a hazardous waste disposal list PDF containing embedded images, confirm that parsing progress does not time out and no error prompts appear.
- Upload a tabular-format environmental monitoring record, check that all fields are fully retained after import with no missing content.
- Export the current knowledge base and import it to a test environment, confirm that the original document chunking structure and content are completely consistent.
The values provided are common starting points and should be measured against the reader's own samples.