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Home > Computing and Information Technology > Computer science > Mathematical theory of computation > Flowise AI in Practice: Build No-Code LLM Agents, RAG Pipelines, and Multi-Agent Workflows
Flowise AI in Practice: Build No-Code LLM Agents, RAG Pipelines, and Multi-Agent Workflows

Flowise AI in Practice: Build No-Code LLM Agents, RAG Pipelines, and Multi-Agent Workflows


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About the Book

Flowise AI in Practice: Build No-Code LLM Agents, RAG Pipelines, and Multi-Agent Workflows Unlock the power of visual AI workflows - without writing a single line of code. Are you ready to build intelligent AI systems using GPT-4, Claude, and Hugging Face - with drag-and-drop simplicity? Flowise AI in Practice is the definitive, hands-on guide for developers, automation engineers, and AI architects who want to build, deploy, and scale no-code LLM agents using the Flowise platform. Whether you're designing smart chatbots, retrieval-augmented generation (RAG) pipelines, or multi-agent workflows, this book equips you with production-ready tools and blueprints from day one. What You'll Learn Inside: Install and deploy Flowise across local, Docker, and cloud environments (Render, Railway, Vercel) Build GPT-4-powered chatbots with prompt templates, memory, tools, and dynamic APIs Design RAG pipelines using ChromaDB, Pinecone, Supabase, and Weaviate Implement vector search, chunking, citation, and context-aware retrieval Orchestrate multi-agent flows using LangChain-compatible agent logic Trigger flows from anywhere using Zapier, Make.com, Streamlit, or custom dashboards Secure your deployments with environment configs, rate limits, authentication, and PM2 Extend Flowise with custom nodes, SDKs, CI/CD pipelines, and open-source contributions Built for Real-World Projects: Every chapter is project-driven, tool-specific, and immediately applicable - whether you're integrating LLMs into your startup, building internal AI assistants, or deploying AI-powered workflows across teams. Includes: Production-grade JSON templates API configurations for OpenAI, Cohere, Anthropic, Hugging Face Developer checklists, CLI scripts, error troubleshooting, and flow monitoring Who Should Read This Book? AI engineers and LLM enthusiasts No-code/low-code developers Automation specialists Technical founders and product teams Anyone building RAG or agent-based systems - without reinventing the wheel Don't just prompt. Build. Whether you're a solo maker or scaling an AI team, this book will make you productive with Flowise from day one - no backend code required. Start building today. Start scaling tomorrow. Flowise AI is your visual LLM command center.


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Product Details
  • ISBN-13: 9798296058607
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 260
  • Returnable: N
  • Sub Title: Build No-Code LLM Agents, RAG Pipelines, and Multi-Agent Workflows
  • Width: 216 mm
  • ISBN-10: 829605860X
  • Publisher Date: 31 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 14 mm
  • Weight: 662 gr


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