- Understanding the Limitations of LLMs
- LLM Model Data vs Vector Database
- External Sources of Knowledge in LLMs
- RAG Overview
- Types of Memory in LLMs
- Key Elements of an AI Agent
- MCP Overview
- AI Agent Frameworks
- Enterprise AI Controls
- The Complete AI Ecosystem
A Complete Guide to AI Agents
From LLMs and RAG to Memory, MCP, Agent Frameworks, and Enterprise AI Controls—discover how modern AI Agents are designed, connected, and deployed within today's rapidly evolving AI ecosystem.
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About
About the Book
Artificial Intelligence is rapidly evolving from simple chatbots to autonomous AI Agents capable of reasoning, planning, retrieving knowledge, using tools, and interacting with enterprise systems.
This guide provides a visual and practical introduction to the technologies that power modern AI Agents. Designed for developers, architects, technology leaders, students, and AI enthusiasts, it explains how Large Language Models (LLMs) are enhanced with memory, retrieval systems, external knowledge sources, and agent frameworks to solve real-world problems.
Author
About the Author
Samir Solanki
Samir Solanki is a software engineer with over 15 years of experience building mobile and enterprise applications across iOS, Android, and modern web technologies.
Passionate about learning and sharing knowledge, he enjoys exploring emerging technologies and simplifying complex technical concepts through visual guides and practical explanations.
Connect with Samir: linkedin.com/in/samir38
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