EdgeQuake: High-Performance GraphRAG in Rust — Complete Guide
Discover EdgeQuake, a Rust-based GraphRAG framework that turns documents into intelligent knowledge graphs for superior retrieval-augmented generation.
Retrieval-Augmented Generation (RAG) has become the standard way to ground LLM answers in your own data. But classic vector-only RAG struggles with multi-hop questions, entity relationships, and knowledge that spans many documents. EdgeQuake takes a different path: a high-performance GraphRAG framework written in Rust that transforms documents into intelligent knowledge graphs — delivering superior retrieval and generation.
🚀 Want to deploy EdgeQuake yourself?
Docker configs, system requirements, and installation guides — all on one page.
View EdgeQuake Tool Page →Inspired by LightRAG and currently sitting at 2,076+ GitHub stars under the Apache-2.0 license, EdgeQuake combines the safety and speed of Rust with a full modern stack: a sleek web UI, a REST API with Swagger documentation, Python bindings, and official SDKs.
Why GraphRAG beats plain vector search
Standard RAG embeds text chunks and retrieves by similarity — fine for simple lookups, but weak when the answer requires reasoning across multiple entities. GraphRAG builds an explicit knowledge graph: entities become nodes, relationships become edges. Queries can then traverse the graph, so multi-hop questions like "which suppliers of component X are also certified for Y?" get grounded, explainable answers.
Key features
| Feature | Why it matters |
|---|---|
| Rust core | Memory-safe, blazing-fast ingestion and querying |
| Hybrid search | Full-text + vector retrieval in one pipeline |
| PDF ingestion | Built-in document parsing into graph units |
| Provider flexibility | OpenAI or local Ollama models + embeddings |
| Docker-first | No Rust or Node toolchain needed to deploy |
Benchmark honesty
EdgeQuake's own publish benchmarks show accuracy statistically tied with LightRAG (Acc 0.792 vs 0.786, Δ 95% CI [-0.022, +0.034]) with a fair cold-latency ratio of 1.02×. The project is refreshingly transparent about not over-claiming — a good sign for production trust.
💡 Bottom line: If you need grounded, multi-hop answers over large document sets — and want a self-hosted, vendor-neutral stack — EdgeQuake is one of the most promising GraphRAG engines available today.
🚀 Ready to run EdgeQuake?
Get the Docker compose file, system requirements, and full docs.
View EdgeQuake Tool Page →