Building Conversational AI Applications with Vertex AI Conversation and Dialogflow CX

Building Conversational AI Applications with Vertex AI Conversation and Dialogflow CX

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Resources and what's next

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9 of 10

Resources and what's next

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Building Conversational AI Applications with Vertex AI Conversation and Dialogflow CX

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  1. 1 High level overview of natural language understanding for Conversational AI
  2. 2 Generative AI applied to Conversational AI
  3. 3 Common user needs, use cases, and capabilities
  4. 4 Solution: Data store agent uses retrieval-augmented generation to generate responses grounded to the content of your knowledge repository
  5. 5 Solution: Generative fallback use LLMs to generate virtual agent responses to handle unexpected intents and invalid parameter values
  6. 6 Solution: Generators allows you to make a call to an LLM natively from Dialogflow CX to do anything you would normally ask an LLM to do
  7. 7 Live demo
  8. 8 Best practices when using Generative AI with Conversational AI
  9. 9 Resources and what's next
  10. 10 Q&A

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