What the data for this category looks like
Advanced chemical materials-related documents and materials mainly come from internal enterprise R&D ledgers, process operation specifications, compliance review documents, and upstream and downstream cooperation agreements. Data updates follow R&D project milestones and compliance requirement adjustments, with no fixed cycle but a wide range of single document lengths. Document structures include fields such as raw material ratio parameters, process temperature and pressure indicators, test standard numbers, and approval circulation nodes. Units involve professional chemical measurement standards including degrees Celsius, megapascals, kilograms, and mole percentages.
What constraints these characteristics impose on deployment and upgrade
Advanced chemical materials documents have a high proportion of long texts, and contain a large number of professional parameter fields. Deployment must adapt to large file chunking logic. Fixed format requirements for compliance documents mean upgrades cannot destroy original field extraction rules. Format differences across multiple data sources require retaining configurations compatible with old-version data import after upgrade. Arm64 architecture deployment must adapt to underlying components required for chemical document parsing to avoid parsing errors. After version upgrade, re-verify the index matching logic of professional fields to prevent a decline in original retrieval accuracy. SaaS version deployment requires additional configuration of scheduled tasks to synchronize updates to chemical compliance documents, avoiding data lag.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@mongodb-host:27017/fastgpt?authSource=admin | Adapts to the multi-field index storage requirements of advanced chemical material documents, ensuring read and write stability for large-volume document data |
REDIS_URL | redis://:redispass@redis-host:6379/1 | Caches professional parameter search results to reduce resource consumption from repeated parsing of long documents |
STORAGE_S3_ENDPOINT | https://s3-<region>.company.com | Adapts to batch upload and storage of chemical documents, meeting archiving requirements for compliance documents |
DB_MAX_LINK | 100 concurrent connections | Limits the number of concurrent connections to avoid server overload caused by simultaneous parsing of multiple long documents |
ROOT_KEY | Randomly generated 32-character English string | Ensures access security for background configurations, preventing unauthorized modification of deployment parameters |
FILE_TOKEN_KEY | 32-character string matching the object storage secret key | Verifies the legitimacy of document uploads to prevent unauthorized document imports into the system |
Three common mistakes
- Issue: After upgrading to FastGPT v4.17.0, an error occurs when importing old-version CSV documents for chemical raw material ratios, with field parsing failures. Cause: The updated chunking logic enables professional field verification by default, and does not accommodate the non-standard parameter format of old-version documents.
- Issue: After deploying on an Arm64 architecture server, document parsing plugins fail to load, and the interface displays file parsing failure. Cause: The default image does not include the chemical document parsing dependency library adapted for Arm64.
- Issue: A connection cannot be established after deploying MongoDB via Docker, and logs prompt authentication failure. Cause: The account and password parameters for MongoDB are not configured correctly, and the default container does not automatically generate account and password information that can be used directly.
How to confirm configurations are properly set
- Upload a typical chemical process document, and check whether the upload status and storage path match the configured
STORAGE_S3_ENDPOINT. - Check the background connection number monitoring to confirm that the concurrent connection number does not exceed the set value of
DB_MAX_LINK. - Initiate a professional parameter search to verify whether the search results include the chemical measurement fields in the document.
- Restart the service and check the running logs to confirm that the connection status of
MONGODB_URIandREDIS_URLis normal.
The values given 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.