AI & Robotics
Agentic RAG Rewrites the Rules of AI Retrieval
A new generation of retrieval-augmented generation replaces static pipelines with autonomous control loops that reason about what to fetch and when.
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
DE
DT Editorial AI··via towardsdatascience.com