What Data for This Category Looks Like
The data sources for civil aviation airport policy and regulatory basis materials include official regulations and notices published by the Civil Aviation Administration of China, internal operating specifications and safety manuals of airport groups, and guiding documents released by industry associations. Update frequency follows these rules: Civil Aviation Administration regulatory documents are synchronized in real time based on their issue date. Internal airport specifications are updated on demand every quarter. The document structure uses a single file with multiple chapters, and includes fields such as document number, issuing authority, effective date, applicable positions, and clause content. Clause numbers use Arabic numerals followed by the word "clause". The effective date format is YYYY-MM-DD.
Constraints for Workflow Orchestration
Policy data is scattered across two sources: the Civil Aviation Administration’s official website and the airport intranet. Configure workflows with dual data source access rules to avoid missing retrieval results. Account for differing update frequencies between the two data sources by setting incremental sync trigger conditions. These triggers only synchronize newly added or modified files. Align text extraction nodes with the structured nature of civil aviation policy documents. Require these nodes to accurately match clause number and effective date fields, and only extract content within valid effective periods to avoid returning expired policy clauses. Address the relatively long document length by setting reasonable timeout and chunking rules for retrieval and extraction stages.
Configuration Recommendations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Variable Configuration | Bind variables to the user-input policy keywords and job type | Accurately match the retrieval dimensions of civil aviation policies and narrow result scope |
| Node ID Configuration | Assign a fixed nodeId to the policy retrieval node | Simplify workflow debugging and branch jump logic configuration |
| Text Extraction Rules | Extract clause number and effective date fields | Match the structured characteristics of civil aviation policy documents and filter expired content |
| Text Chunk Length | 800-1200 characters | Adapt to the paragraph length of civil aviation policy documents and improve retrieval accuracy |
| Retrieval Result Limit | Top 5 results | Avoid excessive results that interfere with user judgment |
| Timeout Setting | 300 seconds | Adapt to the length of civil aviation policy documents and prevent retrieval timeouts |
| Incremental Sync Configuration | Synchronize newly added files daily by issue date | Match the update frequency of civil aviation policies and ensure data timeliness |
Three Common Misconfigurations
- Irrelevant content is returned during workflow debugging. The cause is failure to bind user input to the
variablesparameter, resulting in incorrect passing of retrieval keywords. - Workflow node errors prevent jump completion. The cause is failure to correctly set the
nodeId, causing branch logic to fail to identify the target node. - Valid policy clauses cannot be extracted via text extraction. The cause is failure to configure extraction rules based on clause numbers, leading to misidentification of irrelevant content via only keyword matching.
How to Confirm Proper Configuration
- Pass specified civil aviation policy keywords and job type, and check whether retrieval results include corresponding clause content.
- View workflow run logs in FastGPT v4.17.0 to confirm that the
variablesparameter has correctly bound user-input content. - Simulate a scenario where fields cannot be extracted, and check whether the preset designated reply prompt is triggered.
- Adjust the retrieval timeout period, and confirm that retrieval requests complete responses within the set 300 seconds.
The values given are common starting points and should be measured 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.