Vertex AI RAG Engine

Vertex AI RAG Engine is a managed orchestration service that automates the ingestion, indexing, and retrieval of private data to ground large language models.

Vertex AI RAG Engine acts as a bridge between enterprise data and generative models, providing a streamlined framework for building context-aware applications. It handles the heavy lifting of the RAG pipeline: ingesting files from Google Cloud Storage or Drive, chunking content, and managing vector embeddings in a dedicated corpus. Developers can leverage specialized tools like the Ranking API or integrate with vector databases such as Vertex AI Vector Search and Pinecone to optimize retrieval. By grounding models like Gemini 1.5 Flash in specific organizational knowledge, the engine significantly reduces hallucinations and ensures responses are both factually accurate and secure.

https://cloud.google.com/vertex-ai/generative-ai/docs/rag-overview