Every RAG tutorial I’ve seen follows the same exhausting pattern: “First, set up Pinecone for vectors. Then PostgreSQL for metadata. Add Redis for caching. Deploy your API layer. Oh, and don’t forget the message queue for processing.” By the end, you’re juggling four different services, three billing systems, and a...
The AI revolution isn’t just changing how we work—it’s creating an entirely new generation of AI-native users. These digital natives don’t just use AI tools; they think differently about problem-solving, information processing, and human-machine collaboration.
The technology industry is captivated by the potential of AI agents—autonomous systems capable of reasoning, planning, and executing complex tasks. As companies rush to hire “AI Engineers” to develop the next generation of applications, they may be overlooking a critical resource already within their organizations: their data engineering teams.