Unlock the power of Knowledge Graphs, RAG, and Large Language Models to build autonomous AI agents that solve complex, real-world problems. In Mastering Knowledge Graphs and LLMs, AI expert Finn Tech delivers a practical, production-focused guide for developers, ML engineers, and data scientists who want to harness the full potential of modern AI systems. This book bridges the gap between theory and practice, providing you with step-by-step implementations, advanced workflows, and enterprise-ready strategies. Inside, you’ll discover: How Knowledge Graphs and LLMs work together to enable reasoning, context, and dynamic decision-making End-to-end guidance on RAG pipelines, vector search, and retrieval-augmented generation Hands-on Python examples using LangGraph and LangChain for building robust AI agents Techniques for scaling, debugging, testing, and securing AI systems in production Real-world case studies demonstrating autonomous agents in enterprise applications Whether you are building intelligent assistants, research agents, or complex multi-agent workflows, this book equips you with the knowledge and tools to design, implement, and deploy next-generation AI systems. Elevate your AI expertise and start building autonomous agents today with Mastering Knowledge Graphs and LLMs.
