Goodbye Vanilla RAG, Agentic RAG is Here

With agentic RAG, it seems like the conversation around fine-tuning and RAG is finally dead, as agents are now helping in reasoning.
Agentic RAG
Image by Nalini Nirad
Everyone loves retrieval-augmented generation (RAG). It has revolutionised how AI systems process and respond to user queries by leveraging external knowledge sources. At the same time, everyone wants to replace RAG with something new as it doesn’t meet all the diverse needs of modern enterprises. As the demands for nuanced, complex, and adaptive AI systems grow, the traditional RAG approach—often dubbed vanilla RAG—is reaching its limitations. This is where agentic RAG comes into play. Agentic RAG represents an advanced architecture that combines the foundational principles of RAG with the autonomy and flexibility of AI agents, promising a future where AI systems are more adaptive, proactive, and intelligent. What Exactly is Agentic RAG? Armand Ruiz, VP of product-AI platfo
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Picture of Mohit Pandey
Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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