Bring Google Vertex AI Models to Your RAG Pipelines with Vectorize

Jamie Ferguson•
Bring Google Vertex AI Models to Your RAG Pipelines with Vectorize

Creating AI workflows can often feel like navigating a maze of infrastructure, model integration, and scaling challenges. Vectorize’s integration with Google Vertex AI lets you create smarter retrieval-augmented generation (RAG) pipelines—quickly and without complexity.

Simple Pipeline Setup

Build your RAG pipeline with Google Vertex AI in minutes:

  • Connect your Vertex AI account to Vectorize
  • Select the model that best suits your needs
  • Select your vector database
  • Create and deploy your pipeline with a couple of clicks

Once your pipeline is live, Vectorize keeps everything in sync, so you can focus on building great applications instead of troubleshooting technical details.

#image_title

Integrate Multiple Data Sources into Your RAG Pipeline

Vectorize doesn’t just integrate with Vertex AI; it brings all your data together in a single, unified pipeline. For example:

  • Pull documents from Dropbox and Google Drive for rich context
  • Crawl your documentation site to ensure your app has the most up-to-date information
  • Incorporate customer conversations from Intercom and Discord for deeper insights

Your AI applications get the context they need, when they need it—helping them deliver accurate results faster.

#image_title

Focus on Innovation, Not Infrastructure

Experiment with models, scale solutions, and iterate quickly. 

Whether you’re starting your first project or managing enterprise workflows, you’ll spend less time on setup and more time building AI that delivers value.

Getting Started

Ready to bring Google Vertex AI models to your RAG pipelines? Sign up for Vectorize and start building today.

Your AI Needs Fresh Data Build a FREE RAG pipeline in minutes with Vectorize Try Free