RAGgenie

RAGGENIE — Low-code RAG Builder for GenAI Copilots is a low-code platform that lets you craft your own conversational AI tools using data you already have. No advanced technical skills required. Build, deploy, and share custom copilots that chat with your data, integrate into apps, or run locally. The project emphasizes accessibility, collaboration, and rapid experimentation with your own information sources.

How it works

1. Connect your data and tools. Use built-in connectors from the directory to link your databases, documents, and team tools.
2. Build your Copilot. Use plain-language prompts and minimal configuration to train and customize how your AI chats, retrieves information, and answers questions.
3. Run locally or deploy. Launch Copilots on your machine or integrate them into applications via simple deployment options.
4. Iterate with tutorials and community. Access tutorials, demo content, and a collaborative GitHub community to refine and extend capabilities.

Features

• Low-code builder to create GenAI copilots without writing code
• Connectors to popular data sources and tools for seamless integration
• Plain-language chat interface to interact with your data
• Local run capability for on-device privacy and control
• Open-source tooling to customize and extend Copilots
• Community and Slack/GitHub participation for collaboration and support
• Tutorials and demo content to accelerate learning and deployment
• Early adopter program with limited seats for testing new features

Use Cases

• Personal or organizational copilots that answer questions from your internal data
• Embeddable AI assistants in apps and workflows
• Rapid prototyping of GenAI applications with minimal setup

Safety and Data Considerations

• Ensure data privacy and compliance when connecting data sources
• Review terms of use for integrations and community-contributed content