Build with Vertex AI: Building RAG Applications with Vertex AI

Retrieval Augmented Generation (RAG) allows enterprises to combine Large Language Models (LLMs) with real world data to create grounded applications that are far less likely to produce inaccuracies and hallucinations. This learning path begins with an overview of embeddings, vector space and RAG in BigQuery, and proceeds to equip you with the necessary skills and practical experience to build custom RAG solutions using Vertex AI APIs, vector stores and the LangChain framework.

By earning your Build with Vertex AI TEB, you have already successfully completed one of the core challenge labs required for our next-generation training.

We highly recommend capitalizing on your progress by stepping up to the new, become a Gemini Enterprise Agent Development Certified Partner Specialist . Build on your existing foundation and validate your skills on the new Gemini Enterprise Agent Platform today at goo.gle/cps .