As AI capabilities rapidly expand, one major challenge continues to slow progress: how Large Language Models connect to tools and real-world data. Every model has its own plugin ecosystem, its own integration format, its own custom instructions. The result? Fragmentation, duplicated effort, and painful maintenance cycles. Enter Model Context Protocol (MCP) — a groundbreaking open […]

In the world of AI, two powerful paradigms are converging — retrieval-augmented generation (RAG) and autonomous AI agents. When combined, they give rise to what’s often called RAG agents or agentic RAG systems: intelligent systems that not only generate language (via large language models) but also retrieve up-to-date domain-specific information and act upon it. In