Occasion Type Classification And Routing

via “routing pattern for dynamic task direction based on query classification”

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Unique: Implements routing as an intelligent classification step that analyzes query characteristics to select specialized handlers, rather than using static rules or random assignment, enabling adaptive pipeline selection based on query semantics.

vs others: More efficient than single-pipeline systems by avoiding unnecessary processing steps, and more adaptive than rule-based routing by using LLM reasoning to classify queries based on semantic content.

via “document-classification-and-routing”

via “user inquiry classification and routing”

via “document-classification-and-routing”

via “occasion-type-classification-and-routing”

Unique: Occasion classification is implicit and conversational rather than explicit — users describe the occasion naturally, and the system infers occasion type and applies occasion-specific recommendation logic without exposing a taxonomy or requiring users to select from a dropdown.

vs others: More flexible than occasion-dropdown-based systems (e.g., Amazon gift finder) because it handles novel or ambiguous occasions, but less transparent than systems that explicitly show occasion classification and allow users to override it.