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README.md
LangGenius is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, LangGenius offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
Use Cloud Services
Visit LangGenius.ai
Install the Community Edition
Our Community Edition is in preparation and is expected to be released on GitHub within 2 weeks. You can star this project in advance.
Applications created with LangGenius include:
Out-of-the-box web sites supporting form mode and chat conversation mode A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort Visual data analysis, log review, and annotation for applications LangGenius is compatible with Langchain, meaning we'll gradually support multiple LLMs, currently supported:
- GPT 3 (text-davinci-003)
- GPT 3.5 Turbo(ChatGPT)
- GPT-4
Roadmap
Features under development:
Datasets, embedding your own data into AI applications, including text, webpages, and even Notion content Plugins, introducing ChatGPT Plugin-standard plugins for applications, or using LangGenius-produced plugins
Q&A
Q: What can I do with LangGenius?
A: LangGenius is a simple yet powerful LLM development and operations tool. You can use it to build commercial-grade applications, personal assistants. If you want to develop your own applications, LangGenius can save you backend work in integrating with OpenAI and offer visual operations capabilities, allowing you to continuously improve and train your GPT model.
Q: How do I use LangGenius to "train" my own model?
A: A valuable application consists of Prompt Engineering, context enhancement, and Fine-tuning. We've created a hybrid programming approach combining Prompts with programming languages (similar to a template engine), making it easy to accomplish long-text embedding or capturing subtitles from a user-input Youtube video - all of which will be submitted as context for LLMs to process. We place great emphasis on application operability, with data generated by users during App usage available for analysis, annotation, and continuous training. Without the right tools, these steps can be time-consuming.
Q: What do I need to prepare if I want to create my own application?
A: We assume you already have an OpenAI API Key; if not, please register for one. If you already have some content that can serve as training context, that's great!
Q: What interface languages are available?
A: English and Chinese are currently supported, and you can contribute language packs to us.
About Us
The LangGenius project was created by former members of the Tencent Cloud DevOps team. We found that developing GPT applications based on OpenAI APIs was somewhat cumbersome. Leveraging our years of experience in developing developer efficiency tools, we hope to enable more people to create interesting apps through natural language.
Contact Us
If you have any questions, suggestions, or partnership inquiries, feel free to contact us through the following channels:
- Submit an Issue or PR on our GitHub Repo
- Join the discussion in our Discord Community
- Send an email to hello@langgenius.ai
We're eager to assist you and together create more fun and useful AI applications!