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Hybrid chatbot

As explained in Effective Conversational AI

A hybrid model combines intent-based routing with search or generative-AI capabilities in one conversational system.

A hybrid chatbot uses intents for common questions and routes other questions to search or generative AI. It combines intent-based matching with a broader fallback rather than relying on either alone. section 1.1.3

An FAQ bot may match utterances to intent-response pairs without calling an API. A search-based bot may use an LLM’s built-in knowledge or search a knowledge base before generating an answer. section 1.1.3

How Effective Conversational AI covers it

How deep it goes
Defines the routing pattern and contrasts alternatives, but gives no design or implementation steps.
Examples
Contrasts FAQ intent-response matching with search-backed generated answers; provides no specific hybrid dialogue.
What you can do after
Evaluate chatbots by classifying their patterns and identifying performance challenges.
How it connects
Connects intents with conversational search, generative AI, large language models, and knowledge bases.

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This explainer was generated by Manning's knowledge graph from the text of Effective Conversational AI. The section links point to the parts of the book it draws on.