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## Dify vs. LangChain vs. Assistants API
| Feature | Dify.AI | Assistants API | LangChain |
|---------|---------|----------------|-----------|
| **Programming Approach** | API-oriented | API-oriented | Python Code-oriented |
| **Ecosystem Strategy** | Open Source | Close Source | Open Source |
| **RAG Engine** | Supported | Supported | Not Supported |
| **Prompt IDE** | Included | Included | None |
| **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety |
| **Local Deployment** | Supported | Not Supported | Not Applicable |
## Features
**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.
## Before You Start
**Star us on GitHub, and be instantly notified for new releases!**
- [Website](https://dify.ai)
- [Docs](https://docs.dify.ai)
- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
- [FAQ](https://docs.dify.ai/getting-started/faq)
## 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](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
cd docker
docker compose up -d
```
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation process.
### Helm Chart
Big thanks to @BorisPolonsky for providing us with a [Helm Chart](https://helm.sh/) 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](docker/docker-compose.yaml) 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](https://docs.dify.ai/getting-started/install-self-hosted/environments).
## Star History
[](https://star-history.com/#langgenius/dify&Date)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
### Contributors