Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Use Case Looks Like
Data for coal mining production matter consultation and reply comes from three main types of documents. First, official normative documents such as coal mine safety regulations, operating rules, and post responsibilities. Second, on-site production documents including daily inspection logs, equipment maintenance ledgers, and accident analysis reports. Third, policy notices and rectification requirements released by superior regulatory authorities.
The update rhythm varies significantly across document types. Normative documents are revised periodically. Daily logs are updated daily. Policy notices are released immediately per regulatory requirements. Most documents are multi-page PDFs, with some containing structured tables and professional unit markers. Fields include work location, gas concentration, inspection cycle, responsible person, and other exclusive content.
Constraints on Document Parsing and Chunking
The characteristics of coal mining production documents impose multiple constraints on the parsing and chunking process. First, a single normative document can reach hundreds of pages. Parsing must adapt to large file sizes and longer processing durations to avoid timeout interruptions. Second, documents contain a large number of technical terms, fixed-format tables, and exclusive units. The parsing process must retain structured information to avoid losing field and unit associations. Third, daily inspection logs are high-frequency batch documents. Parsing must balance batch processing efficiency and the integrity of individual documents. Fourth, structure varies widely across different document types. The system must adapt to diverse splitting needs ranging from long text to short ledgers, and avoid breaking cross-chapter professional context links.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 1000–1500 characters | Coal mine documents contain many technical long sentences and associated terms, to avoid splitting that breaks professional context integrity |
chunkSplitter | Split by paragraph + heading | Preserve document chapter structure, to facilitate retrieval of associated operating procedures and safety requirement content |
customPdfParse | Enable structured parsing | Extract fixed fields and professional units from tables, to avoid content loss in documents such as inspection logs and ledgers |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to large-volume PDF files like hundreds-page coal mine safety manuals and accident analysis reports |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing requires longer processing durations, to avoid triggering mid-process timeout errors |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types, to adapt to differences between normative documents and daily ledgers |
Three Common Mistakes
- Phenomenon: Timeout error occurs when parsing hundreds-page coal mine safety regulation PDFs. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default duration is insufficient to complete long document parsing. - Phenomenon:
Cannot read properties of undefinederror appears in locally deployed document parsing tools. Cause: Structured mode forcustomPdfParseis not enabled, leading to lost field mapping when parsing non-standard format inspection record tables. - Phenomenon: Irrelevant cross-chapter content appears in retrieved results after chunking. Cause:
chunkSizeis set too small, splitting associated technical terms and operating procedure paragraphs and leading to context breakage.
How to Verify Proper Configuration
- Upload a single 500-page coal mine safety manual PDF, and check if parsing completes within the duration set by
PARSE_FILE_TIMEOUT_SECONDS. - Review parsed document chunks, confirm that tables and professional unit fields are fully retained, with no content missing or format confusion.
- Adjust the
chunkSizeparameter, compare chunking results across different values, and confirm that technical term paragraphs are not forcibly split. - Batch upload 10 daily inspection record PDFs, check that upload size does not exceed the
UPLOAD_FILE_MAX_SIZElimit, and each document parses normally.
The values provided are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.