Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be a barrier for many developers and enterprises to “productionize” AI. This is where retrieval-augmented generation (RAG) becomes non-negotiable – it strengthens your enterprise applications by building trust in its AI outputs. 

Today, we’re sharing the general availability of Vertex AI’s RAG Engine, a fully managed service that helps you build and deploy RAG implementations with your data and methods. With our Vertex AI RAG Engine you will be able to:

• Adapt to any architecture: Choose the models, vector databases, and data sources that work best for your use case. This flexibility ensures RAG Engine fits into your existing infrastructure rather than forcing you to adapt to it.

• Evolve with your use case: Add new data sources ...