What is RAG and How Does It Work with Modern AI Systems?

1. 1Learn the basics of Retrieval-Augmented Generation (RAG) using online resources
2. 2Explore how RAG is used in enterprise AI and coding agents
3. 3Configure a RAG system using a vector database and a large language model
4. 4Test the RAG system with sample inputs and evaluate its performance
5. 5Apply RAG to a real-world problem, such as text generation or code completion

AI engineers, data scientists, and product managers can benefit from understanding RAG to improve their AI systems and develop more efficient coding agents

💡 RAG combines retrieval and generation capabilities to improve AI system performance and efficiency

Discover RAG, the architecture pattern powering enterprise AI and coding agents!