Work Brief Compilation Document Assistance: Deployment and Upgrade

Work Brief Compilation Document Assistance: Deployment and Upgrade

What the data for this category looks like

The data for work brief compilation comes from periodic work materials submitted by government, state-owned enterprise (SOE) internal business lines, and grassroots units. The update rhythm primarily follows weekly and monthly fixed submission schedules, with temporary emergency submissions also supported. Each individual brief document has a fixed structure, including five core fields: submitting entity, submission date, core work progress, matters requiring coordination, and next-phase plan. The word count per brief ranges from 800 to 1500 characters, with all fields using structured text and a small number of numerical annotations.

What constraints these characteristics impose on deployment and upgrades

The fixed fields and fixed update rhythm of work brief compilation require structured field mapping rules to be configured during deployment, to ensure submitted data can be accurately stored in the knowledge base. Multi-source submitted data requires deployment to support multiple access paths including OA systems and shared folders, while adapting to the dual update logic of fixed-period synchronization and manual triggers. The word count range per single document requires vector storage chunking parameters to match the 800-1500 character length interval, to avoid overly fragmented or overly long chunks that reduce retrieval accuracy. The sudden nature of temporary submissions requires that manual trigger synchronization interfaces be retained during upgrades, to prevent disruption to emergency data entry.

How to Configure Settings

Configuration ItemRecommended SettingRationale for This Setting
PG_URLpostgresql://username:password@host:5432/fastgpt_briefStructured fields of work brief compilation must be stored in a relational vector database. PG_URL specifies the connection address for pgvector, adapting to structured storage and vector indexing requirements for multiple fields
DB_MAX_LINK20–30 connectionsThe retrieval concurrency after chunking single briefs is moderate. 20–30 connections balances database resource usage and query speed
REDIS_URLredis://:password@host:6379/0Used to cache retrieval results and synchronization task status, adapting to temporary storage and quick access requirements for multi-source data
STORAGE_S3_ENDPOINTFill in according to the actual address of the internal object storageUsed to store original brief files and chunked vector caches, adapting to storage requirements for large-capacity documents
FILE_TOKEN_KEYRandomly generated 32-bit stringUsed to encrypt access tokens for brief attachments, ensuring access to internal documents is only available to authorized users
ROOT_KEYSet based on actual testingUsed to configure system administrator permissions, only set during initial deployment to avoid permission conflicts during subsequent upgrades

Three Common Errors

  • Symptom: The compose file fails to start during deployment, with logs showing database connection timeout or username/password verification failure. Cause: PG_URL and MONGODB_URI were not configured for the structured storage requirements of work brief compilation, and incorrect connection parameters for a generic vector database were used, leading to failed database verification.
  • Symptom: Scheduled synchronization tasks cannot execute normally after upgrade, and temporary submitted briefs cannot be stored in the knowledge base. Cause: The original configuration mapping for scheduled synchronization and manual triggers was not retained during upgrade, leading to overwriting of the update logic.
  • Symptom: Retrieved briefs have very low matching with query keywords, and the number of results does not meet expectations. Cause: Vector storage chunking parameters were not adjusted based on the 800-1500 character length of single work briefs, leading to unreasonable semantic chunking and reduced retrieval accuracy.

How to Confirm Proper Configuration

  • Use the FastGPT v4.17.0 deployment package, run the database connection test script to verify that PG_URL, MONGODB_URI, and REDIS_URL can establish normal connections, and the number of connections does not exceed the value set by DB_MAX_LINK.
  • Upload a work brief that meets the standard format, trigger a manual synchronization task, and confirm that the document can be successfully stored in the knowledge base and the corresponding vector index is generated.
  • Access the frontend address FE_DOMAIN, log in with the administrator account, and check the synchronization task configuration list to confirm that both the scheduled synchronization and manual trigger options are enabled.
  • View the file list of the corresponding storage service, confirm that the uploaded original brief files have been stored in the storage location corresponding to STORAGE_S3_ENDPOINT according to the configured path.

The values provided here 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.