AI Builder - RAG for Data Specialist

This course is designed to learn the foundations of RAG with hands-on tutorial, with step-by-step guide to setup on building a RAG data-pipeline, learning to work with self-hosted and cloud hosted large language models (LLMs), different models for specialized for embedding and inferences, vector databases such as ChromaDB and Upstash Vector storage, and deploy a fully functioning RAG application running on the cloud using Groq Cloud or Vercel AI Gateway, Vercel Functions and v0.dev with some vibe-coding. In AI, "RAG" stands for Retrieval-Augmented Generation, a technique that enhances large language models (LLMs) by combining them with an external knowledge retrieval system. This process involves two steps: first, it retrieves relevant information from sources like databases or documents, and then it uses that retrieved context to generate a more accurate, relevant, and up-to-date response. RAG allows AI models to access specific, current information without needing costly retraining. You can also find free supporting information on https://aiagents.ausbizconsulting.com.au/ai-builder-specialist-workshop