The Conversational Analytics API lets you build custom data experiences that provide data, chart, and text answers using Looker's semantic model.

Google Cloud Platform provides a suite of cloud computing services for building, deploying, and managing applications and infrastructure on Google's global network. Developers can learn about cloud-native development, machine learning, and big data analytics to leverage GCP's scalable and reliable cloud infrastructure for their projects.

Google Cloud

Google Cloud has released the Conversational Analytics API in public preview, enabling developers to embed natural language data querying capabilities into custom applications. The API leverages Looker's semantic layer and BigQuery's context engineering to provide accurate, conversational data experiences. Key features include agentic architecture with multiple AI tools, context retrieval and generation, enterprise security controls, and the ability to integrate with existing workflows. The API reduces data errors in AI-generated queries by up to two-thirds when paired with Looker's semantic model.

Understanding Looker’s Conversational Analytics API