Dify
26.1k 3.4kWhat is Dify ?
Dify is an LLM application development platform that has helped built over 100, 000 applications. It integrates BaaS and LLMOps, covering the essential tech stack for building generative AI-native applications, including a built-in RAG engine. Dify allows you to deploy your own version of Assistants API and GPTs, based on any LLMs.
Dify Features
Dify is model-agnostic and boasts a comprehensive tech stack compared to hardcoded development libraries like LangChain. Unlike OpenAI’s Assistants API, Dify allows for full local deployment of services.
| Feature | Dify. AI | Assistants API | LangChain |
|---|---|---|---|
| Programming Approach | API-oriented | API-oriented | Python Code-oriented |
| Ecosystem Strategy | Open Source | Closed and Commercial | Open Source |
| RAG Engine | Supported | Supported | Not Supported |
| Prompt IDE | Included | Included | None |
| Supported LLMs | Rich Variety | Only GPT | Rich Variety |
| Local Deployment | Supported | Not Supported | Not Applicable |
1. LLM Support: Integration with OpenAI’s GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS).
2. Prompt IDE: Visual orchestration of applications and services based on LLMs with your team.
3. RAG Engine: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
4. Agents: A Function Calling based Agent framework that allows users to configure what they see is what they get. Dify includes basic plugin capabilities like Google Search.
5. Continuous Operations: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
Install the Community Edition
System Requirements
Before installing Dify, make sure your machine meets the following minimum system requirements:
-
CPU >= 2 Core
-
RAM >= 4GB
Quick Start
The easiest way to start the Dify server is to run our docker-compose.yml file. Before running the installation command, make sure that Docker and Docker Compose are installed on your machine:
cd docker
docker compose up -dAfter running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization installation process.
Helm Chart
Big thanks to @BorisPolonsky for providing us with a Helm Chart version, which allows Dify to be deployed on Kubernetes.
You can go to https://github.com/BorisPolonsky/dify-helm for deployment information.
Configuration
If you need to customize the configuration, please refer to the comments in our docker-compose.yml file and manually set the environment configuration. After making the changes, please run docker-compose up -d again. You can see the full list of environment variables in our docs.
