In anticipation of our recent internal discussion at the studio, where we delved into GenAI trends, ongoing projects, and experiments within our TechnoRAG platform, the question loomed: "Is RAG now obsolete?" Admittedly, it's a valid inquiry given our extensive investment of time, effort, and expertise into this technology and our TechnoRAG platform. However, despite OpenAI's expansion of RAG capabilities—specifically, enabling retrieval (simply put, uploading custom data to the language model) and significantly enhancing its text handling capacity—it's premature to declare its demise. Comparing RAG to other tools is akin to comparing apples and oranges; it serves as a valuable proof-of-concept tool, offering quick fixes and facilitating 'aha moments.' Yet, for scalability to accommodate over a thousand users, considerations such as access control, administrative interfaces, continuous response monitoring and enhancement, response evaluation, source code linkage, integration with business systems, personal document retrieval, cost containment, version control, and utilization of various Language Model Models (LLMs) for different queries and applications become paramount. Therefore, our commitment to refining and enhancing our TechnoRAG platform persists. TechnoRAG, capable of on-premises deployment, plug-and-play compatibility with any LLM, and consistently providing language model responses and raw data, remains a cornerstone of our endeavors. Feeling overwhelmed by the rapid advancements in this field? Join us for a coffee at the studio, where Urban and I (Martin Persson and Srdan Kvrgic) eagerly share insights—we've been known to discuss technology and its strategic implications for hours on end.