I wanted to understand how multi-hop RAG works and see if DSPy lives up to the hype. Built a demo with the MuSiQue dataset to explore iterative retrieval with synthesis-in-the-loop. Here's what I learned about adaptive reasoning and why it makes a real difference.
How an agentic RAG approach uses context engineering (not vector search) to let LLMs retrieve and reason over complex enterprise data in natural language.