Create Your First AI Agent in Minutes with Dify.ai
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Building No Code LLM AI Agents and Applications with Dify.ai Visual Editor
Discover the power of Dify.ai, a low-code platform that makes building AI applications easier and faster than ever before! In this tutorial, we’ll walk you through everything you need to know to get started, from setting up your first project to creating fully functional applications powered by advanced language models.
Dify.ai offers a user-friendly interface and features like visual workflows, RAG (Retrieval Augmented Generation), and Backend-as-a-Service architecture. By the end of this video, you'll have the tools and confidence to start building AI-powered solutions for your own projects in no time!
Dify.ai's most important differentiator is its user-friendly, low-code platform that enables both technical and non-technical users to rapidly develop and deploy large language model (LLM) applications. Its visual workflow interface simplifies the creation of complex AI applications without extensive technical skills, making AI development more accessible and efficient.
Overall, Dify.ai's combination of ease of use, rapid development capabilities, and advanced features positions it as a leading platform for generative AI application development.
🚀 In this video, you'll learn:
▶︎ Dify Website & Plans
▶︎ Create a Chatbot From Template
▶︎ Create a Chatbot From Blank
▶︎ Create an Agent with Tools
▶︎ RAG Chatflow From Blank
▶︎ Workflow with Tools
Key Themes:
▶︎ Accessibility and Ease of Use: Dify offers a visual, intuitive interface that empowers non-developers to create LLM applications. This ease of use contrasts with code-heavy frameworks like LangGraph or Autogen, making application deployment simpler.
▶︎ Visual LLM Development: The platform provides visual tools for designing prompts, enhancing context, observing LLM behavior, and training models. This visual approach makes the development process more accessible and transparent.
▶︎ Diverse Applications: Dify supports various application types, including chatbots, agents, text generators, chatflows, and workflows. This flexibility caters to diverse use cases.
▶︎ LLM Support: The platform supports popular LLMs like OpenAI models, Anthropic, and locally installed Ollama models (like Llama 3.3), providing flexibility in model selection.
Key Features:
▶︎ Visual Prompt Editor and Debugging: These features facilitate quick onboarding and enable developers to get their first agent running in under 10 minutes.
▶︎ Templates: Dify provides templates for common LLM applications, simplifying the development process.
▶︎ Integrations: Integrations with other platforms through references to a GitHub repository
▶︎ Community Support: A Discord server offers support and networking opportunities for Dify users.
🎯 Whether you're building a chatbot, an AI agent, or any other LLM-powered system, this tutorial provides practical examples to elevate your application’s usability.
🔗 Links & Resources:
Skool: https://www.skool.com/ai-software-dev...
Code the Revolution: Newsletter - https://aidev9.substack.com/
Discord server: / discord
GitHub repo: https://github.com/aidev9/tuts/tree/m...
Dify.ai: https://dify.ai
Timecodes:
00:00 - Introduction to Dify, a Low Code LLM application platform
00:30 - Why Dify? Core Features and Differentiators
00:42 - Dify LLM Apps & supported AI models
01:04 - Dify App types - Chatbot, Agent, Text Generator, Chatflow, Workflow
02:08 - Dify Website & Plans
04:00 - Sign up for Dify - Github, Google or email
04:54 - Dify LLM model configuration - OpenAI, Azure, Anthropic, Ollama
05:50 - Create a Dify medical website generator chatbot from Template
10:50 - Create a Dify medical assistant chatbot from Blank
13:56 - Create a Dify medical assistant agent with Tools
17:22 - Create a Dify RAG with Knowledge - Talk to PDF
25:48 - Design a Dify Workflow with Tools - BraveSearch
34:52 - Dify vs Flowise Comparison - Pros and Cons
39:40 - Summary
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