What the data for this category looks like
Internal policy data comes from enterprise internal compliance management systems and policy compilation files stored on shared drives. Update cycles are triggered irregularly alongside regulatory policy adjustments or internal process changes, with no fixed schedule. Documents are typically multi-chapter structured text, including policy document numbers, effective dates, applicable job scopes, specific clause details, and more. Exclusive fields include unique policy identifiers, responsible management departments, and penalty clauses corresponding to violations. Most content is text-based descriptions, with no standardized unitized numerical fields.
What constraints these characteristics impose on model access and configuration
The irregular update rhythm of internal policy data requires configurations that support flexible data source synchronization triggering mechanisms. This prevents recall of expired old policy content. The structured chapter-based document structure requires configurations adapted to long text segmentation rules. This avoids either single segments being too long and causing model context overflow, or too short and damaging the semantic integrity of clauses. Features including exclusive metadata such as document numbers and effective dates require adding metadata filtering rules to configurations. This ensures only currently effective policies matching the applicable scope are recalled. The strict requirements of compliance scenarios require limiting the precise matching threshold for recall results. This prevents returning irrelevant clauses that cause deviations in compliance judgments.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Internal policies are mostly long-text structured chapters. This range preserves clause integrity and avoids semantic loss from context truncation |
recallCount | Top 3–5 results | Compliance scenarios require precise matching. Too many recall results increase model inference load, while too few fail to cover full compliance requirements |
similarityThreshold | 0.75–0.85 | Filters low-match irrelevant policy clauses, avoiding deviations in compliance judgments |
syncMode | On-demand trigger sync | Internal policy updates have no fixed cycle. On-demand sync reduces unnecessary data pulls and ensures data timeliness |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single policy document may contain multiple chapters. A longer timeout avoids parsing failures for large files |
enableMetadataFilter | Enabled | Filters based on metadata such as effective date and applicable scope, only recalling currently valid and job-matching policy content |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: A 500 error is returned when calling the OneAPI channel, and detailed failure logs cannot be viewed. Cause: The
enableRequestLogconfiguration item is not enabled, so request and response details for model calls are not recorded. - Phenomenon: Normal calls cannot be initiated after configuring the
qwen3model. Cause: The model version does not match the list of models supported by the platform, and the model key is not correctly configured. - Phenomenon: The locally deployed V4.9.7 version cannot connect to other components deployed via Docker. Cause: Correct cross-container network access rules are not configured, and communication permissions for the corresponding ports are not opened.
How to confirm successful configuration
- Initiate a knowledge base query containing compliance keywords, verify returned results only include currently effective policy clauses, and confirm the metadata filtering configuration is active.
- View system-recorded model call logs, confirm request parameters match configured values, and troubleshoot parameter configuration errors.
- Upload an updated policy document, verify the synchronization process triggers normally and document parsing has no content truncation.
- Adjust configuration item values, verify recall result quantity and matching precision change with the configuration, and confirm the configuration takes effect.
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.