LeapRAG

LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by any compatible client without extra development.

LeapRAG is an open-source platform that combines state-of-the-art Retrieval Augmented Generation (RAG) capabilities with Google's A2A (Agent-to-Agent) protocol. The platform enables users to create knowledge-rich, intelligent agents that deliver highly accurate, context-aware responses backed by your own data sources. These agents are automatically compliant with the A2A protocol, making them discoverable and usable by any A2A-compatible client without additional development effort.

Demo Video: From Model Setup to A2A Client Testing

This video demonstrates the complete workflow of LeapRAG, including:

• Large language model configuration
• Knowledge base creation
• Knowledge base chat testing
• A2A agent creation
• Testing with Google A2A UI client

Note: Sensitive information in the video has been redacted.

https://github.com/user-attachments/assets/69755681-e8a7-4283-ae70-834b209e2721

Key Features

1. User-Friendly RAG Platform:

• Simple and intuitive user interface for quickly building high-quality RAG applications without technical background
• End-to-end visual workflow from document upload to knowledge base creation
• Pre-configured best practices that require no parameter adjustments in most scenarios
• What-you-see-is-what-you-get knowledge base testing with real-time validation
• Built-in tutorials and prompts to assist with each