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Agentic RAG Rewrites the Rules of AI Retrieval
Key Takeaways
- Agentic RAG uses autonomous control loops instead of single-pass retrieval pipelines
- Accuracy gains of 15-25% on multi-hop question-answering benchmarks
- Trade-off is higher latency and cost due to multiple retrieval cycles
- Agent decides when to search, what to query, and whether results are sufficient
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DT Editorial Team··4 min read·via towardsdatascience.com