Agentic RAG With LangGraph and Qdrant Traditional Retrieval-Augmented Generation (RAG) systems follow a straightforward path: query → retrieve → generate. Sure, this works well for many scenarios. But let’s face it—this linear approach often struggles when you’re dealing with complex queries that demand multiple steps or pulling together diverse types of information. Agentic RAG takes things up a notch by introducing AI agents that can orchestrate multiple retrieval steps and smartl...
