Build a Simple RAG App with Telnyx AI Inference

This article walks through creating a straightforward retrieval-augmented generation (RAG) app using Telnyx AI Inference, demonstrating a simplified process for developing AI-driven applications. At its heart, RAG involves storing documents, embedding user queries, finding relevant documents, and using them to generate informed answers. The example provided on GitHub shows this workflow in a Python application, highlighting Telnyx's capabilities in AI inference. This matters because it demystifies complex AI processes, making it accessible for developers to build intelligent applications more easily.