Building a RAG System in Rust with Qdrant, Rig, and gRPC 🦀
The article discusses the development of a Retrieval-Augmented Generation (RAG) system using Rust, Qdrant, Rig, and gRPC. It emphasizes the importance of understanding the underlying mechanics of AI systems rather than just using frameworks for quick results. The author aims to provide a comprehensive tutorial that covers the essential components and their functions in building an effective RAG system.
- ▪Rust is identified as a suitable language for building AI systems due to its speed and safety.
- ▪The tutorial focuses on creating a complete RAG system rather than just a working demo.
- ▪Key components include Qdrant for vector search, Rig as the AI framework, and Tonic for gRPC API.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3959021) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Parikalp Bhardwaj Posted on May 30 Building a RAG System in Rust with Qdrant, Rig, and gRPC 🦀 #ai #rag #rust #tutorial With Qdrant, Rig, Tonic — and a healthy obsession with what's actually happening underneath. Why I Built This A few weeks ago I came across Our First Production-Ready RAG Dev Journey in Pure Rust by the rust-dd team — and something clicked.
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