Power intelligent agents with AI-native databases
Key Takeaways
Powering intelligent agents with AI-native databases using AI-powered search, natural language interfaces, multimodal queries, and graph retrieval-augmented generation (RAG)
Original Description
AI-native databases are essential for powering agents with enterprise data. Learn how they enable highly relevant context, automate operations, and manage risk. In this session, we’ll examine AI-powered search, natural language interfaces, multimodal queries, and graph retrieval-augmented generation (RAG). These move beyond simple retrieval, providing agents with high-fidelity, interconnected context. Discover how open standards like Model Context Protocol (MCP) and agentic IDEs streamline workflows for rapid, reliable deployment of agents.
Watch more: 100+ sessions from Google Cloud Next 26 → https://www.googlecloudevents.com/next-vegas/
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Amit Ganesh, Yannis Papakonstantinou, David Soria Parra
BRK2-021
#GoogleCloudNext
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related Reads
📰
📰
📰
📰
What Is a Simple Request and When Does the Browser Send a Preflight Request?
Dev.to · Alireza Hassankhani
How to learn the basics of c++?
Reddit r/learnprogramming
Composer Isn’t Just a Dependency Manager — It’s the Backbone of Modern PHP Development
Medium · Programming
How a frustrating school project led me to build my first CLI tool.
Medium · JavaScript
🎓
Tutor Explanation
DeepCamp AI