Orchestrating Complex RAG Migrations with Gemini CLI: A Step-by-Step Guide If you're working with Retrieval-Augmented Generation (RAG) systems and need to migrate or refactor them—especially across different vector databases, embedding models, or document pipelines—managing the complexity can quickly become overwhelming. Enter Gemini CLI , Google’s powerful command-line tool that simplifies building, testing, and migrating AI-powered applications, including RAG systems. In this beginner-friendly, code-heavy guide, you’ll learn how to use Gemini CLI to orchestrate a full RAG migration—from an old Pinecone-backed system to a new one using Chroma and Google’s latest text embeddings. By the end, you’ll have a working migrated RAG pipeline and understand how to scale this process.…