Deployment and Upgrade for Penalty Case Compliance

What data for this category looks like

Penalty case data primarily originates from public announcements issued by regulatory bodies, internal compliance management ledgers, and public disclosure documents from industry self-regulatory organizations. Data updates follow no fixed schedule, and are refreshed in real time when new penalty decisions are released. Individual documents typically include fields such as penalty document number, penalty subject, violation facts, applicable regulatory clauses, penalty measures, rectification requirements, implementation date, and additional relevant details. Penalty amounts are measured in yuan, rectification periods in days. Some documents include attachments such as rectification reports and rectification acceptance materials.

What constraints these characteristics impose on deployment and upgrade

Deployments must support mixed configuration for public file imports and internal ledger bulk imports to meet multi-source data access needs. Flexible incremental sync trigger rules must be configured for non-periodic update rhythms to avoid missed or redundant syncs from fixed-cycle schedules. Precise vector database field mapping rules are required to handle the numerous fixed-document fields, ensuring key information such as penalty document numbers and violation facts is fully stored. Some documents contain sensitive compliance information, so data desensitization verification configuration must be added during the upgrade phase to meet regulatory data security requirements.

Configuration Recommendations

Configuration Item	Recommended Value	Rationale
`VECTOR_DB_TYPE`	`pgvector / milvus / qdrant`	Adapts to different scales of penalty case data volume. pgvector is suitable for small and medium-scale deployments, while milvus and qdrant are suitable for high-concurrency recall scenarios
`PARSE_SEGMENT_MAX_LENGTH`	`800-1200 characters`	Violation facts and penalty result paragraphs in penalty case documents are lengthy. This segment range balances context completeness and recall accuracy
`RECALL_TOP_K`	`Top 10-15 entries`	Compliance question answering requires association with similar violation penalty cases. This recall volume covers typical reference scenarios while controlling inference costs
`SYNC_INCREMENTAL_INTERVAL`	`Every 6 hours`	Adapts to the non-periodic update characteristics of penalty case data, avoiding excessive system resource usage from full synchronization
`MODEL_CONTEXT_WINDOW`	`8192 tokens`	Penalty case documents have longer overall lengths. This context window can accommodate recalled content and queries, avoiding truncation of critical information
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Allows uploading attachments such as attached rectification reports, while limiting single-file size to avoid parsing timeouts

The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. Testing on own samples is recommended before finalizing settings.

Three Common Configuration Mistakes

Phenomenon: Vector database connection error returns connection refused status code. Cause: VECTOR_DB_TYPE is not configured to the actual database type in use, or the database external access port is not opened.
Phenomenon: Local model call timeout returns 504 Gateway Timeout. Cause: The OLLAMA_BASE_URL parameter is not configured in the .env.local file, or inference requests are initiated before the local model has finished loading.
Phenomenon: Recall results are delayed during concurrent requests, returning 429 Too Many Requests. Cause: The vLLM_DEPLOY_WORKERS and MAX_BATCH_SIZE parameters are not adjusted, leading to insufficient concurrent processing capacity.

How to Confirm Configuration Is Complete

The built-in FastGPT vector database connection test tool is executed, and the returned result is confirmed as Connection successful.
A single penalty case document is uploaded. After parsing completes, the segment preview is viewed and segment lengths are confirmed to fall within the 800-1200 characters range.
Batch concurrent requests are initiated. All interface return status codes are confirmed as 200 OK, with no 429 Too Many Requests or 504 Gateway Timeout errors.
The knowledge base sync log panel is viewed, and incremental sync tasks are confirmed to be automatically triggered every 6 hours with no failed records.

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.