Moving Beyond Naive RAG: The Rise of Agentic Retrieval
Dev.to AI
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Generative AI
Moving Beyond Naive RAG: The Rise of Agentic Retrieval For the past year, Retrieval-Augmented Generation (RAG) has been the gold standard for grounding LLMs. But let's face it: naive RAG - taking a user query, turning it into an embedding, and doing a similarity search - is often fragile. It fails at multi-hop reasoning and lacks the ability to self-correct. Enter Agentic RAG. What is Agentic RAG? Instead of a static pipeline, Agentic RAG treats the retrieval process as an autonomous agent's task.