RAG and Model Optimization: A Practical Guide to AI
4 Articles
4 Articles
The Rise of Agentic Workflows: A Smarter Approach to AI
The Evolution of AI: From Agents to Agentic Workflows For years, the AI community has been obsessed with building autonomous AI agents — systems designed to perform tasks independently, making decisions without human intervention. However, the conversation has shifted. The focus is now on “agentic workflows,” a paradigm that integrates AI systems into structured, adaptable processes where humans and AI collaborate dynamically. What Are Agentic W…


Post-RAG Evolution: AI’s Journey from Information Retrieval to Real-Time Reasoning
For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking results. The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG) have transformed traditional information retrieval, enabling AI to extract relevant data from vast sources and generate structured, coherent responses. This development has improved accuracy, reduced misinformation, and ma…
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