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Dify large language modeling application development platform newbie must-have: installation registration and private server deployment of the full steps

Popularity:531 ℃/2024-09-01 11:32:11

Dify Profile

Dify is an open source Large Language Model (LLM) application development platform. It combines the concepts of Backend as a Service (BaaS) and LLMOps, and is designed to help developers, even non-technical people, to quickly build and deploy generative AI applications.

Key features of Dify include:

  1. Streamline the development process: Simplifies the development process for large language modeling applications by providing a range of tools and services that enable even individuals without a deep technical background to build complex AI applications.
  2. Support for multiple models: Dify supports a variety of large-scale language models, such as the GPT family of models, etc. This provides users with the flexibility to choose the most appropriate model for their specific needs.
  3. LLMOps Support: LLMOps are a set of practices and processes for the development, deployment, maintenance, and optimization of large-scale language models.Dify provides support for LLMOps to help users manage and leverage these models more efficiently.
  4. Community and Resources: As an open source project, Dify has an active technical community that provides a wealth of learning resources and technical support, making it easy for users to learn and exchange experiences.
    In short, Dify's goal is to lower the technical barrier to creating generative AI apps, enabling more people to participate in this area of innovation. Both individual developers and enterprise teams can quickly go from idea to product with Dify.

Open source address:

Open source address:/langgenius/dify

Dify installation (Centos in this article)

Cloning Dify Code Locally
git clone /langgenius/

after thatGo to the docker directory in the source code and start it with a single click

cd dify/docker
cp . .env
docker compose up -d

Note that there may be network timeouts during the download of the image:

The author has failed many times and the solution is as follows:

Edit sudo vim /etc/docker/

{
     
       "registry-mirrors": [
                "https://docker.",
               "",
               "",
               "",
               ".",
               "",
               ""
       ]
}

Restart the Docker service

# Restart the Docker service
sudo systemctl daemon-reload
sudo systemctl restart docker

Redownload the image and start the container

docker compose up -d

Dify Access (Centos in this article)

Access Address:http://192.168.0.100

Setting the administrator account and password for the first time

Main Interface: