Dify

4.5Setuproll editorial score

Dify is an open-source platform for building LLM apps without writing orchestration code. You connect a model provider, pick an app type (Chatbot, Agent, Chatflow, Workflow, or Text Generator), write a prompt, and publish to an API or embeddable widget. It runs on Dify Cloud or self-hosted with Docker Compose, and it works with hosted models like Claude and GPT as well as local models through Ollama. We keep a set of step-by-step Dify guides below, from your first app to a production self-host.

Full LLMOps platform for chat-first RAG and agent apps. Built by Dify, it is strongest as an AI agents tool. You run it locally or self-host it and it is open source, so you can self-host or bring your own key. Reach for it when you need LLMOps, RAG apps, agent workflows.

Get started with Dify Build your first AI app Build a RAG chatbot Set up an AI code review workflow Use Ollama local models in Dify Self-host Dify in production

Specs

ProviderDify

AccessLocal

PricingOpen SourceFree self-host + cloud plans

Open sourceYes

Contextn/a

Best forLLM app and agent building

Score4.5Setuproll editorial score

DomainsAI Agents AI Backend

ReleaseActive, updated 2026

Capabilities

LLMOpsRAG appsagent workflows

Tips from the floor

Start with LLMOps; that is where Dify pulls ahead.

Once you trust it, lean on its RAG apps to move faster.

Self-host or bring your own key to keep costs near zero on heavy runs.

Learn Dify

Start with the course closest to Dify, then work through the tutorials below and the step-by-step how-to guides.

Browse the full academy

Guides for Dify·9

Dify

Beginner12 min

How to Get Started with Dify AI Platform

Install Dify locally with Docker, connect your first LLM provider, and have a working chatbot running in under fifteen minutes.

Dify

Intermediate15 min

How to Build an AI Agent in Dify

Create a Dify agent that can call tools, search the web, and run multi-step tasks without writing orchestration code.

Dify

Intermediate18 min

How to Build a RAG Chatbot with Dify

Upload your documents to Dify, configure retrieval-augmented generation, and deploy a chatbot that answers questions from your own knowledge base.

Dify

Intermediate18 min

How to Set Up an AI Code Review Workflow in Dify

Build a Dify workflow that takes a diff or code snippet and returns a structured review covering bugs, security, and style, then call it from CI or a git hook.

Dify

Beginner15 min

Dify Tutorial: Build Your First AI App (Complete Walkthrough)

A beginner walkthrough of Dify: what it is, cloud versus self-host, creating an app, picking an app type, adding a model, writing a prompt with variables, and publishing to get an API or embed.

Dify

Intermediate12 min

How to Use Ollama Local Models in Dify

Point a self-hosted Dify at a local Ollama server, register a model like Llama 3.1 or Qwen, and run your apps fully offline with no per-token cost.

Dify

Intermediate16 min

How to Build a RAG Knowledge Base in Dify

Create a Knowledge base in Dify, upload and chunk your documents, embed them, and attach retrieval to a Chatflow so the model answers from your own content.

Dify

Beginner10 min

Dify vs n8n: Which Should You Use for AI Workflows

An honest comparison of Dify and n8n: Dify is an LLM app builder with a hosted UI and API, n8n is general automation with hundreds of integrations. When to pick each, and how to combine them.

Dify

Advanced20 min

How to Self-Host Dify in Production with Docker Compose

Clone Dify, bring it up with Docker Compose, set the production env values, put it behind a reverse proxy with HTTPS, and set up backups and upgrades.