Building a Multi-Tenant AI Document Platform on AWS (Part 1: Architecture)
The article discusses the architecture of a multi-tenant AI document platform called Sift, built on AWS. It emphasizes the importance of creating a scalable system that can handle real enterprise use cases while maintaining low operational costs. The author outlines the design choices made for the platform, which includes a serverless architecture and efficient data processing pipelines.
- ▪Sift is a multi-tenant RAG document platform designed for enterprise use cases.
- ▪The platform processes user-uploaded documents through a six-stage asynchronous pipeline.
- ▪It utilizes Aurora PostgreSQL Serverless v2 for both operational data and vector search capabilities.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 100411) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Josh Blair Posted on May 21 Building a Multi-Tenant AI Document Platform on AWS (Part 1: Architecture) #aws #architecture #serverless #postgres Building Sift: A Multi-Tenant AI Platform on AWS (6 Part Series) 1 Building a Multi-Tenant AI Document Platform on AWS (Part 1: Architecture) 2 Multi-Tenant Auth with Cognito and PostgreSQL Row-Level Security (Part 2) ... 2 more parts...
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