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Jun 23, 2025 · 4 min read · In today’s rapidly evolving AI landscape, two terms often surface—but can easily be conflated—AI Agents and Agentic AI. While they share a root in “agent,” their scope, autonomy, and applications differ profoundly. In this post, we’ll unpack their de...
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Jun 22, 2025 · 5 min read · Retrieval-Augmented Generation (RAG) is transforming our understanding of large language models. Instead of expecting an LLM to know every fact, RAG combines a lightweight, custom knowledge base with powerful generative capabilities. You first ingest...
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May 30, 2025 · 5 min read · In our earlier post here, we understood the basic difference. Function Calling is like handing a tool to the AI. Agentic AI is like assigning a goal to AI (an intelligent assistant). But when you are designing a system or designing a product, is ...
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May 30, 2025 · 4 min read · Artificial intelligence is evolving faster than ever, with tools like ChatGPT, Google Gemini, and Claude making waves. There’s a lot of buzz around function calling and Agentic AI, but what do these terms mean? How are they different? And more import...
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Jan 13, 2025 · 4 min read · What is RAG? Retrieval-augmented generation (RAG) is a machine learning framework that synergizes the power of retrieval-based systems with generative models such as GPT, BERT, or other Large Language Models (LLMs). Unlike traditional generative mode...
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