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What managers should know about RAG: A complement to AI models

Retrieval-Augmented Generation shifts the enterprise AI question from “which model should we use?” to “how do we connect AI models to what we already know?”

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thehindubusinessline.com

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thehindubusinessline.comStai leggendo4 h fa

What managers should know about RAG: A complement to AI models

RAG—private knowledge base search plus grounded generation—was adopted by 51% of enterprises in 2024 with average ROI of $3.70/$. For tech managers, it's essential in banking, healthcare, legal where compliance and proprietary data are non-negotiable; vector DB provider choice directly impacts cost, latency, retrieval accuracy.

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Multi Agent RAG using LangGraph

LangGraph enables multi-agent RAG combining retrieval and generation; 50+ tutorials and Llama 3.1 implementations in GenAI_Agents. Standardizes multi-agent orchestration, reducing custom engineering and accelerating time-to-deployment for enterprise AI use cases.

Timeline cronologica

domenica 26 luglio 2026·dev.to
Multi Agent RAG using LangGraph
Introduction to Multi Agent RAG using LangGraph The field of artificial intelligence has...
martedì 28 luglio 2026·thehindubusinessline.com
What managers should know about RAG: A complement to AI models
Retrieval-Augmented Generation shifts the enterprise AI question from “which model should we use?” to “how do we connect AI models to what we already know?”