alfredodeza/azure-rag

The project is a classic educational or 'starter' repository rather than a persistent piece of infrastructure. With 52 stars and 224 forks, the high fork-to-star ratio is a strong signal that it is used primarily as a template for workshops or individual experimentation. Its age (over 800 days) puts it in the 'pre-historic' era of modern RAG; in that time, Microsoft has released native, first-party features like 'Azure OpenAI on your data' and integrated RAG capabilities directly into Azure AI Studio. These official tools offer better security, scaling, and maintenance than a manual implementation. This project faces extreme platform domination risk from Microsoft itself, which has every incentive to make the manual setup shown here obsolete through managed services. It lacks any proprietary data, unique algorithms, or network effects that would create a moat. A technical investor would view this as a legacy tutorial rather than a viable product or defensible technology.