High-Performance Graph-RAG Framework in Rust

EdgeQuake is a high-performance Graph-RAG framework written in Rust that transforms documents into intelligent knowledge graphs for superior retrieval and generation.

Key features:

• Knowledge Graphs - LLM-powered entity extraction and relationship mapping create a structured understanding of documents.
• 6 Query Modes - Optimizes for different question types, from fast vector searches to graph-traversing hybrid queries.
• Rust Performance - Utilizes an async-first Tokio architecture for handling thousands of concurrent requests.
• Production Ready - Features an OpenAPI 3.0 REST API and health checks for robust deployment.
• Modern Frontend - Built with React and interactive Sigma.js graph visualizations.

EdgeQuake addresses limitations of traditional RAG systems by combining vector similarity with graph traversal, enabling complex multi-hop reasoning and thematic queries.