Vertex AI RAG Engine: A developers tool- Google Developers Blog
Jan 15, 2025Crispin Velez, Holt Skinner

Summary
Introduces Vertex AI RAG Engine, a managed orchestration service for building grounded generative AI applications. It simplifies data retrieval and LLM integration, offering ease of use, customization options (parsing, chunking, annotation, embedding, vector storage, open-source models), high-quality Google components, and flexible integration with vector databases like Pinecone, Weaviate, or Vertex AI Vector Search. It positions RAG Engine as a balance between Vertex AI Search (fully managed) and fully DIY RAG approaches. Provides use cases in financial services, healthcare, and legal, along with getting started resources (notebooks, documentation, integrations, evaluation framework).
More from the Predictive APIs and Machine Learning Integration trail
- Expanding Choice in Gemini Enterprise Agent Platform: Introducing Grounding with Parallel Web Search- Google Developers Blog
- Evolving Spec-Driven Development: Conductor Now Supports Antigravity- Google Developers Blog
- Building scalable AI agents with modular prompt transpilation- Google Developers Blog
- LiteRT.js, Google's high performance Web AI Inference- Google Developers Blog
- Gemma 4 12B: The Developer Guide- Google Developers Blog