How Does Dify Handle Multi-Model Switching Across LLM Providers?

Dify supports connecting to multiple LLM providers simultaneously including OpenAI, Anthropic, Azure OpenAI, Hugging Face, and local models. Users can switch, compare, and load-balance between providers directly within the workflow canvas without code changes.

Can Dify Be Fully Self-Hosted On Private Infrastructure?

Yes, Dify offers a complete self-hosted edition deployable via Docker Compose. Teams retain full control over data, model connections, and configurations. The self-hosted version includes nearly all features available on the cloud service.

What Is The Difference Between Chatflow And Workflow In Dify?

Chatflow is designed for conversational AI applications with memory and multi-turn dialogue support. Workflow handles sequential or branching task automation triggered by events, webhooks, or API calls, suitable for backend processing pipelines.

How Does Dify's RAG Knowledge Base Process And Retrieve Documents?

Dify ingests documents via batch upload or website scraping, chunks them, generates embeddings, and stores them in vector databases. It supports hybrid search combining semantic and full-text retrieval, plus a semantic rerank model for improved answer accuracy.

Does Dify Support Plugin Extensions And Third-Party Tool Integration?

Dify features a dedicated Marketplace where users can install plugins for tools, model providers, and external services. Developers can also build custom plugins and share them with the community through the Marketplace ecosystem.

Listed · Reviewed Apr 2026 · 7-criteria rubric

AI Development Tools

Dify

Name: Dify
Availability: InStock
Author: LangGenius, Inc.

Open-Source Platform for Building Production-Ready Agentic AI Workflows

by LangGenius, Inc. · Menlo Park, CA, USA · Founded 2023

Visit Dify →

Pricing

From $59/mo

What is Dify?

Dify is an open-source LLM application development platform built by LangGenius, Inc. It enables teams to build, deploy, and manage production-ready AI agents and agentic workflows through a visual drag-and-drop interface.

The platform supports RAG (Retrieval-Augmented Generation) pipelines, multi-model orchestration across providers like OpenAI and Anthropic, and Backend-as-a-Service deployment.

Dify also includes built-in observability with LangSmith and Langfuse integration, a plugin marketplace, and full self-hosting capability via Docker. With over 100K GitHub stars, it is one of the most adopted open-source LLMOps platforms globally.

Dify — Open-Source Platform for Building Production-Ready Agentic AI Workflows Whether you're evaluating Dify for your team or comparing it to alternatives in the AI Development Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

Dify Demo Video

Key Features 8

Open-Source LLM App Development Platform With Visual Drag-and-Drop Workflow Builder

Build Production-Ready AI Agents With Multi-Step Reasoning and Tool Use

Built-In RAG Pipeline With Document Upload, Chunking, and Vector Search

Supports 300+ LLMs Including OpenAI, Anthropic, Google, and Local Models

No-Code Agentic Workflow Creation With Conditional Logic and Branching Nodes

Self-Hosting Support With Docker for Full Data Privacy and Control

Backend-as-a-Service With Ready-to-Use APIs for Quick App Deployment

Real-Time Observability Dashboard for Monitoring Model Performance and Logs

Who Is Dify For

1 Backend Developers Building LLM-Powered Applications

2 AI Engineers Orchestrating Multi-Agent Workflows

3 DevOps Teams Self-Hosting AI Infrastructure

4 Product Managers Prototyping Chatbots and AI Tools

5 Enterprise IT Teams Deploying Internal AI Assistants

6 Data Scientists Building RAG-Based Knowledge Systems

Pros & Cons

Pros 4 benefits

Fully Open-Source Codebase
Strong Multi-Model Provider Support
Active GitHub Community Contributions
Self-Hosting With Full Control

Cons 3 limitations

Cloud Variable Size Limitations
Steep Learning Curve Initially
Limited Priority Support Responsiveness

Frequently Asked Questions

5 questions

Who is Dify for?

Dify is most useful for Backend Developers Building LLM-Powered Applications, AI Engineers Orchestrating Multi-Agent Workflows, DevOps Teams Self-Hosting AI Infrastructure and Product Managers Prototyping Chatbots and AI Tools.

Dify pricing

Dify uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: From $59/mo. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.

What's New

Workflow Stability and Knowledge Retrieval Fixes 1.13.3

Added variable-reference support for model parameters in LLM nodes, fixed streaming reliability issues, and preserved citation metadata in knowledge retrieval.

Mar 27

Hologres Support, Security Hardening, and Workflow Improvements 1.13.1

Added Hologres as a vector and full-text search backend, introduced edge context menu in workflow canvas, prevented SQL injection in vector-store queries, and added configurable send-key behavior for embedded chat.

Mar 10

View all updates

Security & Privacy

US, Global (Self-hosted anywhere)

SOC 2 Type I SOC 2 Type II ISO 27001:2022 GDPR Compliant

End-to-end encryption for data in transit and at rest Role-based access control (RBAC) Parameterized SQL to prevent injection attacks Credential clearing on plugin uninstall Ownership checks for conversation deletion APIs

Collaboration & Teams

Team Workspaces Multi-User Access Role Permissions Shared Projects Real-time Comments Version History Activity Log

Learning & Support

Resources

Documentation Video Tutorials Blog Templates

Community

Forum Discord

Support Channels

Email Priority

Localization

UI Languages

50+

Content Languages

Multi-Language UI RTL Support

All Features of Dify