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Published : Apr 15, 2026
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2026
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Google Dialogflow CX is Google Cloud's managed conversational AI platform, combining a graph-based state machine build from Flows and Pages with Vertex AI Gemini–powered generative capabilities. We previously tracked its predecessor, Dialogflow, in the Radar. CX represents a significant redesign that gained traction after Google integrated Vertex AI Gemini models in 2024, introducing Generative Playbooks for instruction-driven agents and Data Store RAG for grounding responses in indexed content. We used it to build a natural language data discovery agent, choosing it over a custom SDK approach for its low-code environment and Generative Playbooks. We configured these with few-shot prompting to translate natural language queries into SQL. Teams on Google Cloud building natural language interfaces over structured internal data will find Dialogflow CX accelerates delivery compared to a custom agent stack. However, the platform has no free tier; its deep Google Cloud dependency introduces significant vendor lock-in, and teams should plan for context engineering effort.

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