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Mastering LangFlow: Visual Agentic AI Workflows, Retrieval-Augmented Generation (RAG), and Knowledge Graph Integration: Building Modular LLM Chains, Vector Store Pipelines, Prompt Engineering - Couverture souple
Synopsis
Unlock the power of visual AI engineering with Mastering LangFlow, the definitive hands-on guide for developers, data scientists, and product teams building production-ready agentic workflows.
Dive deep into LangFlow's drag-and-drop interface for rapid prototyping of modular LLM chains, RAG pipelines, and knowledge graph-enhanced systems. Explore LangChain integration patterns for seamless connector development to vector databases like FAISS, Milvus, and Pinecone; advanced retrieval strategies including hybrid search and reranking; and prompt engineering techniques for hallucination-free, context-aware responses.
From embedding pipelines and chunking algorithms to multimodal workflows blending text, images, and APIs, this book equips you with agentic controllers, tool-calling mechanisms, and orchestration frameworks for decision-making automation.
Master debugging tools, observability dashboards, and deployment blueprints—serverless via AWS Lambda, containerized with Docker/Kubernetes, or hybrid edge-cloud setups—for scalable, fault-tolerant AI applications. Packed with LangFlow flow templates, LangChain code recipes, real-world case studies in multi-agent collaboration, and best practices for ethical AI governance, this resource transforms theoretical concepts into deployable solutions, accelerating your journey in agentic AI, graph-powered RAG, and visual workflow engineering.
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Mastering LangFlow (Paperback)
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Paperback. Etat : new. Paperback. Unlock the power of visual AI engineering with Mastering LangFlow, the definitive hands-on guide for developers, data scientists, and product teams building production-ready agentic workflows.Dive deep into LangFlow's drag-and-drop interface for rapid prototyping of modular LLM chains, RAG pipelines, and knowledge graph-enhanced systems. Explore LangChain integration patterns for seamless connector development to vector databases like FAISS, Milvus, and Pinecone; advanced retrieval strategies including hybrid search and reranking; and prompt engineering techniques for hallucination-free, context-aware responses.From embedding pipelines and chunking algorithms to multimodal workflows blending text, images, and APIs, this book equips you with agentic controllers, tool-calling mechanisms, and orchestration frameworks for decision-making automation. Master debugging tools, observability dashboards, and deployment blueprints-serverless via AWS Lambda, containerized with Docker/Kubernetes, or hybrid edge-cloud setups-for scalable, fault-tolerant AI applications. Packed with LangFlow flow templates, LangChain code recipes, real-world case studies in multi-agent collaboration, and best practices for ethical AI governance, this resource transforms theoretical concepts into deployable solutions, accelerating your journey in agentic AI, graph-powered RAG, and visual workflow engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798268665819
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Mastering LangFlow: Visual Agentic AI Workflows, Retrieval-Augmented Generation (RAG), and Knowledge Graph Integration: Building Modular LLM Chains, Vector Store Pipelines, Prompt Engineering
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Mastering LangFlow (Paperback)
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Paperback. Etat : new. Paperback. Unlock the power of visual AI engineering with Mastering LangFlow, the definitive hands-on guide for developers, data scientists, and product teams building production-ready agentic workflows.Dive deep into LangFlow's drag-and-drop interface for rapid prototyping of modular LLM chains, RAG pipelines, and knowledge graph-enhanced systems. Explore LangChain integration patterns for seamless connector development to vector databases like FAISS, Milvus, and Pinecone; advanced retrieval strategies including hybrid search and reranking; and prompt engineering techniques for hallucination-free, context-aware responses.From embedding pipelines and chunking algorithms to multimodal workflows blending text, images, and APIs, this book equips you with agentic controllers, tool-calling mechanisms, and orchestration frameworks for decision-making automation. Master debugging tools, observability dashboards, and deployment blueprints-serverless via AWS Lambda, containerized with Docker/Kubernetes, or hybrid edge-cloud setups-for scalable, fault-tolerant AI applications. Packed with LangFlow flow templates, LangChain code recipes, real-world case studies in multi-agent collaboration, and best practices for ethical AI governance, this resource transforms theoretical concepts into deployable solutions, accelerating your journey in agentic AI, graph-powered RAG, and visual workflow engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798268665819
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