Travel Planner Retrieval Design with Bounded Access Rules and Source Citations

A travel itinerary planner requires a retrieval system with strict access rules and source context for every answer. In this system, the quality of retrieval is only useful within the defined access boundary. For example, a beach recommendation from the wrong country or an expired train timetable would be a correctness failure, even if the embedding score looks good.

To implement this, start by defining a contract before choosing the index and web connector that can enforce it. The generator should never receive an unbounded search result to repair. Instead, it should focus on providing a straightforward design with a clear scope.

When verifying context before returning results, consider the following: the user's request, the type of information needed (place, train notice, or policy paragraph), geographic scope, time window, language, and access scope. Create a retrieval contract that includes fields like trip_id, region, language, valid_from, valid_until, source_url, and access_scope.

The planner should select a collection for the corpus, apply mandatory filters, and limit the number of candidates. Queries without a region or trip scope should fail closed, not returning recommendations from random traveler notes.

It's also essential to verify freshness. Web-backed context can change, so store the fetch timestamp and source revision. If the freshness requirement is not met, the system should return a constrained answer indicating that a current confirmation is needed. Finally, keep the pipeline observable with three stages: Ingestion, Querying, and Answer Assembly. This separation helps operators trace any errors back to their source, whether it's bad chunking, filtering, or composition.