Flowise AI Systems: Engineering Visual LLM Pipelines, Intelligent Agents, and Automated Workflows for Modern AI Applications - Softcover

Ming, Alex

Softcover

ISBN 13: 9798275785296

Verlag: Independently published, 2025

Inhaltsangabe

Flowise AI Systems is a complete, practitioner-focused guide to building advanced AI applications with Flowise the visual orchestration platform that is rapidly becoming the standard for no-code and low-code LLM engineering.
This book teaches you how to design intelligent AI systems by combining Flowise’s powerful visual interface with leading technologies such as LangChain, vector databases, OpenAI, Gemini, Llama models, APIs, webhooks, and enterprise data sources.
You’ll learn how to architect production-ready solutions including:

1. Retrieval-Augmented Generation (RAG) pipelines
2. Intelligent multi-agent systems
3. Conversational interfaces and domain-specific chatbots
4. Automated document processing and knowledge extraction
5. Workflow automation with real-time triggers and API tools
6. Scalable AI systems for enterprise environments

From fundamentals to highly advanced patterns, every chapter breaks down complex AI engineering concepts into clear, visual, repeatable workflows. You’ll explore pipeline optimization, memory strategies, tool integrations, structured reasoning, secure deployments, and best practices for designing flexible AI architectures that evolve with your needs.
Featuring real-world examples, system blueprints, and deployable templates, Flowise AI Systems equips developers, analysts, automation specialists, and innovators with the skills to create robust and scalable AI solutions without writing thousands of lines of code.
Whether you’re building for personal projects, enterprise adoption, or AI-driven product development, this book gives you the strategic knowledge, patterns, and hands-on techniques to design the next generation of intelligent applications with Flowise

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 13: 9798275785296
• Einband: Taschenbuch
• Anzahl der Seiten: 209
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar