Analysis
This article offers a fascinating look into the practical challenges faced when deploying a Retrieval-Augmented Generation (RAG) system on Azure, specifically highlighting issues with Azure AI Foundry. It provides valuable insights for anyone embarking on similar projects, emphasizing the importance of understanding regional limitations and the nuances of Azure's terminology.
Key Takeaways
- •The author, a DX professional, details challenges with Azure AI Foundry when building a RAG system.
- •The article highlights issues with regional model availability for LLMs like GPT-5.2 and Claude Opus.
- •It emphasizes the importance of understanding Azure's naming conventions and terminology.
Reference / Citation
View Original"Azure AI Foundry周りの情報は、GPT-5.2にもClaude Opus 4.5にもGeminiにも聞いても、軒並み正確に答えてもらえなかった。"