What the data for this category looks like
Data for this category primarily comes from enterprise contract management systems, compliance risk databases, legal and regulatory repositories, case management systems, and reporting platforms. The update frequency is monthly. Daily processed documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation results. Data fields include risk category, review subject, processing status, associated contract number, reporting clue number, and others. The content of a single document covers records and conclusions across the entire compliance review workflow.
What constraints these characteristics impose on the database and operations segment
Multi-source data access requires the database to support cross-system data pulling and format conversion, to adapt to document and field formats from different sources. The monthly update rhythm requires configuring scheduled batch synchronization tasks to avoid excessive business system resource usage from real-time synchronization. Diverse document types, including structured review forms and unstructured opinions, require balancing structured field indexing and full-text search capabilities. Data is closely linked—for example, violation reports and case processing must bind associated fields, requiring the database to support associated queries. Since the consequences of errors are severe, configure data backup and disaster recovery mechanisms to ensure rapid data recovery in abnormal situations.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Point to a dedicated replica instance for compliance document storage | Used to store unstructured legal opinions and violation report investigation results, to avoid competing for resources with other business data |
PG_URL | Point to the read-only replica address for structured ledgers | Used to store structured data such as compliance risk lists and review forms, to ensure query performance does not affect main database business |
DB_MAX_LINK | 25 | Adapt to the concurrency requirements of monthly batch synchronization and daily compliance queries, to avoid connection overload |
REDIS_URL | Dedicated address for local cache clusters | Used to cache frequently accessed legal and regulatory entries and standard risk classifications, to reduce database query load |
| Database backup strategy | Daily full backup + incremental backup, retain data from the last 3 months | Meet the high reliability requirements of legal compliance data, to ensure rapid data recovery |
| Scheduled synchronization task configuration | Perform full synchronization at 1 AM on the 1st of each month | Match the monthly data update rhythm, to reduce resource usage during business hours |
Three common misconfigurations
- Symptom: A database query called by a workflow returns no results, logs show normal connection but no matching data. Cause: Cross-system synchronization tasks are not configured, and compliance ledger data has not been synchronized from the enterprise contract management system to the FastGPT-associated database.
- Symptom: A database batch synchronization task times out after triggering, logs show
timeout of 360000ms exceeded. Cause: TheDB_MAX_LINKconfiguration value is too low, insufficient connections during synchronization cause task interruption. - Symptom: AI-generated compliance reports do not reference risk data queried from the database, only returning general statements. Cause: The workflow does not bind database query results to context variables, so the AI cannot obtain specific content returned by the query.
How to confirm configurations are complete
- Access the database configuration module in FastGPT, verify the configuration addresses of
MONGODB_URIandPG_URL, run a connection test and confirm a successful return. - Manually trigger a small-scale compliance data synchronization task, check system logs, and confirm that the number of connections does not exceed the
DB_MAX_LINKsetting. - Call the database query node in the workflow, verify that the returned fields match the standard fields of the enterprise compliance ledger.
- Check the configuration status of the REDIS cache, confirm that frequently accessed compliance data has completed cache loading.
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.