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Paperback LANGFLOW ENGINEERING: Building AI Workflows, RAG Applications, AI Agents, and MCP Integrations Book

ISBN: B0HGMQPN57

ISBN13: 9798194840762

LANGFLOW ENGINEERING: Building AI Workflows, RAG Applications, AI Agents, and MCP Integrations

Langflow Engineering: Building AI Workflows, RAG Applications, AI Agents, and MCP Integrations

Build practical AI applications with Langflow-from your first visual workflow to production-ready AI systems.

AI development is moving beyond simple prompts and chatbots. Modern applications combine large language models (LLMs), RAG, AI agents, tools, APIs, databases, and Model Context Protocol (MCP) to create intelligent systems that can retrieve information, make decisions, and interact with external services.

Langflow Engineering provides a practical, beginner-friendly path to understanding and building these systems with Langflow.

Inside this book, you'll learn how to:

* Understand Langflow architecture, components, flows, inputs, outputs, and connections.
* Build and connect LLM-powered AI workflows
* Design effective prompts and configure model components.
* Build Retrieval-Augmented Generation (RAG) applications.
* Work with documents, chunking, embeddings, vector stores, and retrieval.
* Create AI agents that can reason through tasks and use tools.
* Connect agents to APIs, databases, external services, and MCP tools.
* Understand and implement Model Context Protocol (MCP) integrations.
* Create custom Langflow components for specialized functionality.
* Expose Langflow workflows through APIs and integrate them with applications.
* Debug, test, monitor, and optimize AI workflows.
* Improve AI application performance, reliability, security, and cost efficiency.
* Deploy and maintain Langflow applications in production environments.
* Design complete production-grade AI platforms using Langflow.

Whether you're exploring Langflow for the first time or looking to move from experimental workflows to production AI engineering, this book gives you a structured foundation for building modern AI applications.

By the end, you will have a clearer understanding of how Langflow, LLMs, RAG, agents, MCP, APIs, tools, and external services fit together, and how to turn individual AI workflows into maintainable, scalable applications.

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