Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Mining and mineral processing inquiry and response data comes from multiple sources: mining operation logs, mineral processing process records, safety and compliance regulations, mineral rights approval documents, on-site operation and maintenance logs, and official inquiry response archives. Update rhythms differ across data types: daily operation logs update daily, annual operation plans update quarterly, and policy documents update irregularly. Document types include structured Excel spreadsheets, long-text PDFs, and Word service guidelines. Fields cover mine site number, equipment model, grade value, operation duration, and other items. Units include tons, meters, MPa, hours, and other professional measurement standards.
What constraints do these characteristics impose on the "document parsing and chunking" link
Structured mining and mineral processing documents require chunking to avoid damaging tables and chapter hierarchies. Otherwise, complete operation processes and indicator data cannot be associated during retrieval. Long-text safety regulations and service guidelines include many continuous professional sentences. Too-short chunks will truncate professional terminology. Too-long chunks will mix irrelevant context. Large-sized operation and maintenance logs and annual documents consume more parsing resources, increasing timeout risk. Frequently updated log data requires the chunking process to have sufficient processing efficiency. Delays here will affect the timeliness of inquiry and response.
How to set the configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Mining and mineral processing documents contain a large number of professional terms and long sentences. This range can retain terms and process context |
chunkSplitter | Split by paragraph + title | Mining regulations and service guidelines have clear chapter titles. Splitting by titles retains the document hierarchy structure |
customPdfParse | Enable structured parsing | Mining and mineral processing PDFs often contain tabular mineral processing indicators and safety checklists. Structured parsing fully retains table data |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload requirements of single large-scale operation and maintenance logs or annual mineral rights documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large-sized document parsing requires a longer timeout period to avoid mid-process interruptions |
chunkSettingMode | Manual configuration | Chunking parameters can be flexibly adjusted for different types of documents (logs/regulations/inquiry responses) |
Three common misconfigurations
- Phenomenon: Confusing character and token units when setting
chunkSizeleads to chunks that are too long or too short, reducing question-and-answer matching accuracy. Cause: The unit rules of document parsing are not clarified, and parameters are set by mistaking token counting for character counting. - Phenomenon: Uploading a Word operation and maintenance document larger than 15 MB leaves the parsing status stuck at "Processing" for a long time, finally returning a timeout error. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted, and the default timeout period is insufficient to complete large document parsing. - Phenomenon: Uploading a structured Excel mineral processing log causes the knowledge base to return retrieval results that only contain scattered values without contextual association. Cause: The structured parsing function corresponding to
customPdfParseis not enabled, and table data is split directly as plain text.
How to confirm the configuration is correct
- Upload a single 10 MB mineral processing regulation PDF, check the parsed chunk content to confirm that chapter titles and paragraphs are not forcibly truncated.
- Upload a structured Excel log, check whether the retrieval results retain complete table rows and corresponding field names.
- Adjust the
chunkSizeparameter, compare the chunking results under different values to confirm that they meet the requirements of retaining document terms and context. - Test uploading a 15 MB operation and maintenance log file to confirm that no timeout error occurs during the parsing process.
The values provided here are common starting points and should be measured 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.