Second, we are removing the friction to build AI applications using a vector database, by helping data teams with autonomous embedding generation in BigQuery (preview) over multimodal data. Building on our BigQuery Vector Search capabilities, you no longer have to build, manage, or maintain a separate, complex data pipeline just to create and update your vector embeddings. BigQuery now takes care of this automatically as data arrives and as users search for new terms in natural language. This capability enables agents to connect user intent to enterprise data, and it’s already powering systems like the in-store product finder at Morrisons, which handles 50,000 customer searches on a busy day. Customers can use the product finder on their phones as they walk around the supermarket. By typing in the name of a product, they can immediately find which aisle a product is on and in which part of that aisle. The system uses semantic search to identify the specific product SKU, querying real-time store layout and product catalog data.
Trusted, production ready multi-agent development
When an analyst delivers a report and their job is done. When an architect deploys an autonomous application or agent, their job has just begun. This shift from notebook-as-prototype to agent-as-product introduces a critical new set of challenges: How do you move your notebook logic into a scalable, secure, and production-ready fleet of agents?
To solve this, we are providing a complete “Build-Deploy-Connect” toolkit for the agent architect. First, the Agent Development Kit (ADK) provides the framework to build, test, and orchestrate your logic into a fleet of specialized, production-grade agents. This is how you move from a single-file prototype to a robust, multi-agent system. And this agentic fleet doesn’t just find problems — it acts on them. ADK allows agents to ‘close the loop’ by taking intelligent, autonomous actions, from triggering alerts to creating and populating detailed case files directly in operational systems like ServiceNow or Salesforce.
A huge challenge until now was securely connecting these agents to your enterprise data, forcing developers to build and maintain their own custom integrations. To solve this, we launched first-party BigQuery tools directly integrated within ADK or via MCP. These are Google-maintained, secure tools that allow your agent to intelligently discover datasets, get table info, and execute SQL queries, freeing your team to focus on agent logic, not foundational plumbing. In addition, your agentic fleet can now easily connect to any data platform in Google Cloud using our MCP Toolbox. Available across BigQuery, AlloyDB, Cloud SQL, and Spanner, MCP Toolbox provides a secure, universal ‘plug’ for your agent fleet, connecting them to both the data sources and the tools they need to function.
Source Credit: https://cloud.google.com/blog/products/data-analytics/enabling-data-scientists-to-become-agentic-architects/
