What This Category of Data Looks Like
Data sources for civil aviation airport policy and regulatory reference data include regulations officially released by the Civil Aviation Administration of China, internal operation manuals of local airports, and normative documents from industry associations. Official regulations are synchronized in real time as they are issued, and internal operation manuals are reviewed and updated quarterly. Documents take structured clauses as their core structure, including file numbers, issuing entities, effective dates, applicable scenarios, and specific clause content. Fields include permission levels, execution nodes, and more. Common units of measurement are clauses, items, hours, and passenger trips.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Scattered data sources with layered permission requirements mean that multi-turn dialogue must synchronously pass context permission identifiers to avoid returning unauthorized internal regulatory content. Uneven policy update frequencies require prompts to include guiding logic to prioritize matching newly released documents. The structured clause structure supports multi-turn follow-up questions, and can guide users to supplement clause numbers or effective dates to narrow query scope. Industry-specific terms such as "flight normal guarantee" and "stand allocation rules" must be preset in prompts to ensure term consistency in dialogue. Policy execution nodes are strongly tied to time, so multi-turn dialogue must support carrying time parameters to match valid clauses.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | Previous 20 turns of dialogue context | Retain recent permission and scenario information to avoid cross-turn permission failure |
chatId | Bind to the unique identifier of the current session | Ensure context consistency for multi-turn dialogue, match knowledge base permissions within the session |
messages | Append user and assistant interaction content in session order | Adapt to the multi-turn follow-up question logic of civil aviation policies, retain pre-set scenario and permission parameters |
| Question Optimization | Enable industry term correction | Adapt to civil aviation-specific terms to avoid term misunderstandings in dialogue |
| Single Search Limit | Top 8 matching results | Balance query efficiency and policy coverage, avoid interference from redundant information |
variables | Preset the local policy identifier of the current airport | Limit query scope to internal regulations and local rules of the corresponding airport |
Three Common Misconfigurations
- Phenomenon: Significant differences exist between API call results and online dialogue, even when
streamis set to false anddetailis set to true, with fields still missing. Cause: The permission identifier of the corresponding knowledge base is not bound in the session variables, resulting in failure to match the correct knowledge base scope during API calls. - Phenomenon: After migrating the knowledge base, all text content can be viewed on the knowledge base page, but the model prompts that the knowledge base is empty during dialogue. Cause: The knowledge base ID associated with the session has not been updated, or the vector index of the knowledge base has not been re-synced after migration, resulting in the session being unable to call updated knowledge base data.
- Phenomenon: Returned policy clauses in multi-turn dialogue do not distinguish effective dates, and expired old policy content appears. Cause: The prompt does not include effective date filtering logic, and does not guide users or automatically match currently valid policy clauses.
How to Verify Proper Configuration
- Initiate a single-turn test dialogue, query a known civil aviation airport security inspection policy, and check whether the returned result matches the corresponding clause in the knowledge base.
- Initiate a multi-turn dialogue, continuously follow up on supplementary clauses and effective dates of the policy, and verify that the context is correctly retained and no permission-exceeding content appears.
- Call the API interface to initiate a session, compare the results of the online dialogue and the API return to confirm consistency between the two.
- After migrating the knowledge base, rebind the knowledge base associated with the session, initiate a test query, and confirm that the model can normally return knowledge base content.
The values provided here 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.