Categories:
TV LLM Conversational Search UC
Global use case developed by Aura Platform Team that allows users searching for recommendations by holding a conversation with Aura
Introduction
The video LLM Conversational Search use case is a global experience designed and developed by Aura Global Team that allows Telefónica customers to hold a conversation with Aura for having TV content recommendations using a voice interface.
Find additional information in the following documents:
- Discover the Conversational search specifications and the particularities of the use case development.
- Learn how to configure the conversational-search-dialog for Conversational Search use case.
- Access the TV Retrieve plugin for LLM Search UC.
- Discover the resources used by the Conversational search use case.
- Find the AI configuration for each OB for the TV LLM Conversational Search UC.
Specifications
Kernel API
To resolve the user’s request, Aura uses the normalized Video Contents Kernel API.
Request-response model
The Conversational search use case is adapted to both request-response normalized model v3 and v1.
Available channels
The Conversational search use case can be enabled in any channel in both v1 and v3 and TV-related payloads.
Use case development
The Conversational search use case includes the following components:
Understanding features
- Intent:
intent.conversational.search
Use case logic
Once Aura recognizes the user’s utterance, the UC is resolved via:
-
Aura Bot dialog
The Conversational search use case is built over conversational-search-dialog.
See the Dialog configuration for the required settings and bypass configuration.