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RustyRAG

RustyRAG

by RustyRAG · GitHub

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

# actix-web# cerebras# groq# jinaai
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⭐ Stars
198
🍴 Forks
9
📜 License
License not specified
📅 Created
2026
🔄 Last commit
2 mo ago
🏷️ Category
actix-web
💻 Language
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📈 Star history
199198
2026-07-202026-07-21
📄 About

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

Frequently asked questions

What is RustyRAG?

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

Is RustyRAG open source?

RustyRAG is an open-source project.

Is RustyRAG free?

Yes. RustyRAG is free and open source — you can use, modify and self-host it.

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