What the data for this category looks like
Mineral mining and beneficiation documents and materials mainly come from three sources: internal business systems, on-site operation records, and upper-level compliance documents. They are updated regularly along with project progress. Production report documents are adjusted weekly, quarterly safety inspection reports are updated monthly, and annual reserve reports are updated annually. Documents include three structural types: structured reports (such as mineral processing recovery rate tables, production dispatch sheets), long-text operation guides, and scanned archived paper acceptance slips. Fields include grade, processing capacity, operation time, and other items, with corresponding units such as %, tons/day, year-month-day, and other professional identifiers.
What constraints these characteristics impose during deployment and upgrade
The mixed structure of documents requires configuring differentiated parsing rules during deployment to adapt to extraction needs for structured reports and non-long-text materials. The large volume of scanned PDF documents requires compatibility with updates to multi-format document parsing plugins during upgrades. Frequently updated business documents require configuring an incremental sync trigger mechanism during deployment to avoid full repeated imports. The presence of professional fields and units requires retaining original field identifiers during knowledge base configuration to prevent data distortion after parsing. The indexing stability of compliance documents requires that upgrades do not damage previously built vector databases.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
REDIS_URL | redis://:custom password@intranet redis host:6379/0 | Cache parsed mineral mining and beneficiation document fragments to reduce resource overhead from repeated parsing |
STORAGE_S3_ENDPOINT | intranet object storage intranet address:9000 | Store scanned documents and original PDF files for mineral mining and beneficiation, adapting to the security requirements of intranet deployment |
DB_MAX_LINK | 20–30 | Handle database connection peaks during bulk import of monthly mineral processing reports to avoid connection exhaustion |
MONGODB_URI | mongodb://username:custom password@intranet mongo host:27017/fastgpt?authSource=admin | Store field data from structured mineral processing reports, supporting precise queries based on dimensions such as grade and processing capacity |
ROOT_KEY | Random string of 32 or more characters | Configure super administrator permissions for bulk management of knowledge base access permissions in mineral mining and beneficiation scenarios |
Three common mistakes
- Phenomenon: After starting the container, calling the model interface returns a 403 status code, prompting that the token does not have permission to use the model. Cause: The correct model permission token was not associated in the FastGPT configuration, and the compliance-specific model for mineral mining and beneficiation was not added to the available scope of the token.
- Phenomenon: After importing the mineral processing recovery rate report, professional units such as those for grade and processing capacity fields are lost. Cause: No field extraction rules were configured for structured reports, and the default parsing rules did not retain the unit identifiers of original fields.
- Phenomenon: A database connection timeout error occurs when bulk importing annual reserve reports. Cause: The
DB_MAX_LINKparameter was not adjusted to adapt to the connection requirements of large-document bulk imports, resulting in connection pool exhaustion.
How to confirm the configuration is complete
- Log in to the FastGPT backend, enter the storage configuration page, and confirm that the object storage address matches the configured value of
STORAGE_S3_ENDPOINT. - Upload a PDF of a mineral processing process card, perform a document parsing test, and confirm that structured fields are correctly extracted and professional units such as % and tons/day are retained.
- Generate a test token, call the model interface to generate a mining operation guide, and confirm that the return result is normal with no 403 error.
- Bulk import 10 monthly production reports, check the database monitoring panel, and confirm that the connection count does not exceed the configured threshold of
DB_MAX_LINK.
The values provided 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.