From f514fd218274e7302c30cba94ef93fe8697aef71 Mon Sep 17 00:00:00 2001 From: Chenhe Gu Date: Tue, 9 Apr 2024 12:30:44 +0800 Subject: [PATCH] Update README.md (#3206) --- README.md | 40 +++++++++++++++++++--------------------- 1 file changed, 19 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 8cd28ff62dcae..b1a0f327a5045 100644 --- a/README.md +++ b/README.md @@ -29,52 +29,50 @@ **Dify** is an open-source LLM app development platform. Dify's intuitive interface combines a RAG pipeline, AI workflow orchestration, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. -![](./images/demo.png) - +https://github.com/langgenius/dify/assets/13230914/979e7a68-f067-4bbc-b38e-2deb2cc2bbb5 ## Using our Cloud Services -You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5. +You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls. ### Looking to purchase via AWS? Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. -## 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 ![](./images/models.png) + **1. Workflow**: Create and test complex AI workflows on a visual canvas, with pre-built nodes taking advantage of the power of all the following features and beyond. -**2. 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. Support**: Seamless integration with hundreds of proprietary / open-source LLMs and dozens of inference providers, including GPT, Mistral, Llama2, and OpenAI API-compatible models. A full list of supported model providers is kept [here](https://docs.dify.ai/getting-started/readme/model-providers). -**3. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team. +**3. Prompt IDE**: Visual orchestration of applications and services based on any LLMs. Easily share with your team. **4. 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. -**5. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tool calling capabilities, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc. +**5. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc. +**6. LLMOps**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models based on production data. + + +## 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 | -**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!** - ![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f) - - [Website](https://dify.ai) - [Docs](https://docs.dify.ai) - [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)