Contextual AI recently announced the launch of RAG 2.0, an advanced system designed to enhance the development of production-grade artificial intelligence. This new system includes Contextual Language Models (CLMs) that have achieved state-of-the-art performance across various industry benchmarks, outperforming previous models. RAG 2.0 integrates pretraining, fine-tuning, and aligning all components into a single system, allowing for backpropagation through both the language model and retriever to maximize performance, thereby improving the accuracy and depth of LLMs. The introduction of RAG 2.0 marks a significant step forward in making language models more reliable and effective for business applications, transitioning from being considered as mere tools to essential assets in AI workflows. Additionally, there's buzz around GPT-5, with reports suggesting its preview version is substantially better than its predecessor, GPT-4, and is expected to be released this summer. This development is anticipated to further push the boundaries of AI capabilities.