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.
Search and retrieve information quickly using a hybrid system that combines different search methods and AI models.
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Free · no card · unsubscribe anytimeProduction-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.
RustyRAG has 151 stars on GitHub. It has been forked 9 times. RustyRAG is written mainly in Rust. It has been in active development since 2026. Its main topics are actix-web, cerebras, groq, jinaai.
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.
What language is RustyRAG written in?
RustyRAG is written mainly in Rust.
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