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Building a Private RAG System: Lessons from a Local-First AI Journal

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#ai#privacy#journaling#technology
Building a Private RAG System: Lessons from a Local-First AI Journal
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DiaryGPT is an AI-powered personal journaling app designed to prioritize user privacy. It operates primarily in local mode, ensuring that no data leaves the user's machine while providing various AI-driven insights. The app features mood analysis, semantic search, and personalized prompts, all while maintaining strong encryption standards.

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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1532066) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rahul Talreja Posted on May 23 Building a Private RAG System: Lessons from a Local-First AI Journal #llm #ai #ollama #privacy Most AI apps quietly send your data to the cloud. DiaryGPT does the opposite — and this is the full technical story. The Problem With AI + Private Data When you write in a journal, you write the things you'd never say out loud. The last thing you want is that text sitting on someone else's server, used to train a model, or exposed in a breach.

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