No-Code AI with Flowise Build Chatbots, LLM Workflows, RAG Assistants & AI Agents Visually - No Coding Required Unlock the future of AI development-without writing a single line of code. No-Code AI with Flowise is the ultimate hands-on guide to building real-world AI solutions using the open-source, drag-and-drop platform Flowise. Whether you're a solopreneur, product designer, educator, business analyst, or curious innovator, this book empowers you to harness the full power of Large Language Models (LLMs) like GPT-4, ...
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No-Code AI with Flowise Build Chatbots, LLM Workflows, RAG Assistants & AI Agents Visually - No Coding Required Unlock the future of AI development-without writing a single line of code. No-Code AI with Flowise is the ultimate hands-on guide to building real-world AI solutions using the open-source, drag-and-drop platform Flowise. Whether you're a solopreneur, product designer, educator, business analyst, or curious innovator, this book empowers you to harness the full power of Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Mistral-visually. Why This Book? AI is no longer just for developers. With the explosion of tools like GPT-4, LangChain, and RAG systems, the possibilities are endless-but the coding barrier is still high. Flowise tears down that wall, and this book gives you the blueprint to build: - Interactive AI Chatbots for support, education, and sales - Retrieval-Augmented Generation (RAG) apps with real-time data and document search - Smart LLM Workflows powered by memory, API integrations, and multi-step reasoning - SaaS AI Tools you can deploy, monetize, and scale-without touching Python What You'll Learn - Understand the building blocks of no-code AI: prompts, memory, APIs, tools, and agents - Connect Flowise to OpenAI, Claude, Gemini, HuggingFace, and even local LLMs like LLaMA and Mistral - Orchestrate complete workflows using visual logic: input process output - Integrate vector databases like Pinecone and Weaviate for searchable knowledge apps - Deploy full-stack AI products using Flowise + Vercel, Supabase, n8n, and Stripe Inside the Book 12 chapters of progressive, real-world, project-based builds Over 10 deployable applications, including language translators, knowledge bots, customer support agents, and more Flowcharts, tables, node maps, and system diagrams that make learning frictionless Pro-tips, pitfalls, and checklists for every major concept A capstone guide to launching your own SaaS AI product-from prototype to production Who This Book Is For - No-code Builders & Makers using Bubble, Webflow, Zapier, Make, or n8n - Founders & Product Leads looking to prototype intelligent SaaS without engineers - Educators & Researchers developing AI tutors, assistants, or interactive tools - Developers & Engineers who want to visualize and accelerate LLM pipeline prototyping Why Flowise? Why Now? The no-code AI movement is booming. Flowise is emerging as the most intuitive, open-source visual tool for building agentic AI systems. With deep integrations into LangChain, OpenAI, vector databases, and toolchains, it's the fastest way to build with GPT-powered intelligence-without code. Start Building AI Visually. Launch Faster. Automate Smarter. Whether you're automating a business task, launching a chatbot startup, or exploring AI for the first time- No-Code AI with Flowise is your go-to manual for turning LLMs into real, usable, and scalable applications.
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Add this copy of No-Code Ai With Flowise to cart. £16.25, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2025 by Amazon Digital Services LLC-Kdp.
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PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Add this copy of No-code AI with Flowise: Build No-code LLM Workflows, to cart. £20.19, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
