Mastering LangFlow: Visual Agentic AI Workflows, Retrieval-Augmented Generation (RAG), and Knowledge Graph Integration: Building Modular LLM Chains, V

By: J. Ashford, Rowan

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.

• Format: Paperback
• Language: English
• ISBN: B0FV32169R
• ISBN13: 9798268665819
• Release Date: October 2025
• Publisher: Independently Published
• Length: 222 Pages
• Weight: 0.87 lbs.
• Dimensions: 0.5" x 7.0" x 10.0"