Inside the Architecture of a Deep Research Agent
In the rapidly evolving landscape of AI, Retrieval-Augmented Generation (RAG) has become the go-to solution for grounding language models in factual data. It has been effective for question-answering, but for complex, exploratory tasks that demand vast data analysis and culminate in a structured narrative, we must look beyond simple RAG. This isn’t just a theoretical challenge, it's the next step in our own product journey: This progression now culminates in a more advanced capability.