RAG your Codebase with Vertex AI RAG Engine

Unlock the power of your codebase! 🚀 Learn how to use Google Cloud's Vertex AI RAG Engine to index an entire GitHub repository and ask complex questions about the code using natural language. Struggling to navigate large or unfamiliar codebases? Retrieval-Augmented Generation (RAG) combines the power of Large Language Models (LLMs) like Gemini with specific knowledge from your own documents – in this case, your source code! In this step-by-step tutorial, I'll guide you through: * Brief Introduction to RAG: Understand the core concepts behind Retrieval-Augmented Generation. * Notebook Walkthrough: We'll dive into a Google Colab notebook covering: - Setting up your GCP environment and installing necessary libraries (Vertex AI SDK, GCS, GitPython). - Cloning a public GitHub repository. - Uploading code files (Python, Java, JS, config files, etc.) to Google Cloud Storage (GCS). - Creating a Vertex AI RAG Corpus to hold and index your code. - Importing and chunking the code files within the RAG Corpus. - Setting up a Retrieval Tool for the Gemini model. - Querying the codebase using the Gemini model integrated with the RAG tool. * Vertex AI Studio Demo: See how to interactively chat with your RAG-indexed codebase directly in the Google Cloud Console. This approach allows AI models to provide answers grounded in the specifics of your project's code, making it easier to understand functionality, find specific implementations, or even get help debugging. 🔧 Ready to try it yourself? Access the full Colab Notebook here: ➡️ https://github.com/kweinmeister/notebooks/blob/master/rag_codebase.ipynb Fork it, run it, and adapt it to analyze your own repositories! Key Technologies Covered: - Retrieval-Augmented Generation (RAG) - Google Cloud Vertex AI - Vertex AI RAG Engine - Vertex AI Gemini Models - Vertex AI Text Embedding Models - Google Cloud Storage (GCS) - GitHub - Python (GitPython, google-cloud-aiplatform, google-cloud-storage) Google Colab Like this video if you found it helpful, and subscribe for more AI and Cloud content! Let me know in the comments if you have any questions or what codebase you'd like to try this on! #VertexAI #RAG #GenerativeAI #GoogleCloud #LLM #AI #MachineLearning #Python #Colab #GitHub #CodeSearch #DeveloperTools #Gemini