Dify.AI

Dify.AI is a platform specifically designed for LLMOps that is open source. It allows developers to create AI applications in a simpler and more efficient manner by utilizing various large language models. The platform operates by defining all components of an AI application, such as prompts, contexts, and plugins, through declarative YAML files. With Dify.AI, developers gain access to visual orchestration capabilities, enabling them to easily manage prompts, operations, and dataset management. The platform also allows for the creation of AI applications within minutes, and integration of large language models into existing apps for continuous improvement.

Dify.AI offers a wide range of applications, including text generation for scenarios such as AI chatbots for websites that utilize business data, specialized question answering robots, text summarization generators for important information, marketing copywriting generation applications, and more.

Here are the key features of Dify.AI:

1. Capability selection from multiple models: Users can choose the desired capabilities for their Dify AI apps by selecting different models. The platform is compatible with Langchain, meaning it supports various large language models. Currently, Dify supports models from providers such as OpenAI, Azure OpenAI Service, Anthropic, Replicate, Hugging Face Hub, ChatGLM, Llama2, and more.

2. Visual prompt orchestration: Dify.AI enables rapid development of AI apps through the visual creation and debugging of prompts. This feature allows developers to quickly build their applications.

3. Text embedding and dataset management: Dify.AI automates the text preprocessing stage and embeds data as context without any complex concepts. It supports various file formats such as PDF and TXT, as well as data syncing from platforms like Notion, webpages, and APIs.

4. API-based backend: Dify.AI operates as a backend-as-a-service, allowing users to directly access web apps or integrate the platform’s functionalities via APIs without the need for complicated backend setup.

5. Data labeling and improvement: The platform provides visual inspection of AI logs, enabling users to improve the performance of their models through data labeling and continuous enhancements.

6. Plugins: Dify.AI offers first-party plugins, such as web browsing, Google search, and Wikipedia integration. These plugins assist in online lookup, web content analysis, and explaining the AI’s reasoning. More plugins are expected to be added in the future.

7. Team workspaces: Dify.AI facilitates team collaboration by supporting workspaces, where members can join to edit, manage, and utilize team AI apps effectively.