What the data for this use case looks like
The data for in-client natural language search function entries comes primarily from end-user trigger interaction logs, pre-configured search trigger rules, and bound structured business datasets. Two update cycles apply: entrance configuration items are updated on demand, while associated business data is synchronized with the client business system. The document structure includes unique entrance identifier, trigger keyword set, associated knowledge base ID, access permission scope, and bound business interface address. All fields are string or boolean types, with no complex nested units. Entrance identifiers use alphanumeric combinations as units, and trigger keywords use individual entries as units.
What constraints do these characteristics impose on deployment and upgrade workflows
The structured nature of this use case’s data requires standardized field mapping tools during deployment, to avoid configuration read failures caused by custom formats. The data synchronization cycle constraint requires configuring an update interval aligned with the client business system during deployment, to ensure search content real-time performance meets compliance requirements for financial scenarios. During upgrades, adjustments to entrance trigger rules must include verification of the access permission scope, to prevent unauthorized cross-role search operations. Batch updates of trigger keywords must first pass trigger matching tests in a test environment, to avoid disrupting normal client interaction workflows. Changes to bound business interface addresses also require corresponding configuration updates, to prevent search failures.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DOCKER_ENTRANCE_DEPLOY_PORT | 8080–8090 | This port range must align with the open port rules of the client system to avoid port conflicts that disrupt deployment |
BUSINESS_DATA_SYNC_CRON | 0 */5 * * * | Meets the near-real-time update requirements of financial scenario business data; synchronizing every 5 minutes balances performance and timeliness |
ENTRANCE_TRIGGER_THRESHOLD | 0.75–0.85 | Controls the similarity threshold for search matching; this interval balances recall accuracy and coverage, aligning with the strict requirements of financial scenarios |
PARSE_ENTRANCE_CONFIG_TIMEOUT | 120 seconds | Prevents deployment failures caused by timeout during batch entrance configuration parsing; 120 seconds covers the parsing duration of complex configurations |
ENTRANCE_PERMISSION_VALIDATE | Enabled | Enables permission verification forcibly, adapting to compliance requirements of financial/insurance scenarios and preventing unauthorized access to search content |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: The function entrance fails to trigger search after deployment, and the log returns
400 Bad Request. Cause: The port mapping rule betweenDOCKER_ENTRANCE_DEPLOY_PORTand the client system is not configured correctly, causing requests to fail to reach the service. - Symptom: The model call tool logic is abnormal, and some trigger words fail to match the corresponding search. Cause: Trigger keywords are not sorted according to client interaction logic, or the number of trigger keywords exceeds a reasonable range, causing matching conflicts.
- Symptom: Knowledge base segmentation results in missing chunks, and search results are incomplete. Cause: The
PARSE_SEGMENT_SIZEparameter is not adjusted for the knowledge base bound to the function entrance; using the default value causes abnormal long-text segmentation, failing to fully recall business content.
How to confirm the configuration is correct
- Log in to the FastGPT backend, enter the function entrance management page, and verify that configured entrance fields match the requirements in the deployment documentation.
- Trigger preset search keywords within the client, check whether search results include expected business data, and confirm synchronization configuration is effective.
- Call the configured permission test account, verify that only search content within the corresponding role scope is accessible, and confirm permission verification configuration is correct.
- Check service logs, confirm there are no timeout errors related to
PARSE_ENTRANCE_CONFIG_TIMEOUT, and verify configuration parsing is functioning normally.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.