Building AI-powered apps on Google Cloud databases using pgvector, LLMs and LangChain
Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL now support the pgvector extension, bringing the power of vector search operations to PostgreSQL databases. In this step-by-step tutorial, we will show you how to add generative AI features to your own applications with just a few lines of code using pgvector,…
Announcing vector support in PostgreSQL services to power AI-enabled applications
Generative AI is ushering in a new wave of experiences that transform how we interact with information, brands, and one another. In the future, Google believe that almost every application will be AI-driven, and developers who build these applications will need the right tools to…
Manage multiple Firestore databases in a project
Google are excited to announce support for multiple Firestore databases in a Google Cloud project. You can now create multiple databases in a project to isolate customer data, microservices, or dev/test/staging environments. The multiple databases feature includes support for the following: Firestore database CRUD management:…
AlloyDB for PostgreSQL with Database Migration Service is now Generally Available
In December 2022, Google announced the general availability of AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database service that provides a powerful option for modernizing from legacy, proprietary databases and for scaling existing PostgreSQL workloads. Earlier in 2022, Google launched the preview of AlloyDB for PostgreSQL migrations using Database Migration Service (DMS). Today…
Sharing the inaugural State of Kubernetes Cost Optimization report
The past couple of years have been tough for IT organizations. Between headwinds from the COVID-19 pandemic and other macroeconomic factors, teams have been tasked with optimizing their cloud infrastructure footprint while keeping the services that are core and crucial to the business up and…
Protect data from disasters using new Asynchronous Replication
In today’s business landscape, data availability and integrity are paramount. Disasters, whether natural or man-made, can disrupt operations and pose a significant risk to critical information. To address this, today Google are introducing Persistent Disk Asynchronous Replication, which enables disaster recovery for Compute Engine workloads…
Cloud Data Loss Prevention’s sensitive data intelligence service is now available in Security Command Center
Our Cloud Data Loss Prevention (Cloud DLP) discovery service can monitor and profile your data warehouse to bring awareness of where sensitive data is stored and processed. Profiling is also useful for confirming that data is not being stored and processed where you don’t want…
Looker now available from Google Cloud console
Looker helps make it easy to get insights from business data and to build data-driven applications with unified metrics for ease of collaboration. Today, we are bringing Looker to the Google Cloud console, making it simpler than ever to acquire, deploy, and manage Looker in…
What is Cloud Scheduler?
If you want to get right into using Google Cloud Scheduler, check out this interactive tutorial! So, there you are relishing in the fact that you’ve just set up a new database and pipeline to process large amounts of your organization’s data regularly. Feeling alive! Your…
Build, automate, and monitor BigQuery ML models with Vertex AI MLOps capabilities
Making machine learning (ML) models work in production is hard. It usually requires not only a deep understanding of ML, data engineering, and software engineering, but also a variety of tools and technologies. BigQuery ML and Vertex AI make it easier to create, deploy, and manage machine learning…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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