I Built a Local AI That Queries My Database — No Cloud. No Legal Panic. No Compromise.
The article discusses the development of a local AI system that queries an internal database without relying on cloud services. This approach was prompted by legal concerns regarding data privacy and compliance. The author outlines the technical steps taken to build the system using various tools while addressing potential pitfalls.
- ▪The local AI system was created to avoid legal issues related to data privacy.
- ▪It utilizes Llama 3, Ollama, LangChain, and SQLite to function entirely on local machines.
- ▪The author highlights the importance of error handling and self-correction in the querying process.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3939390) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Bezawada Haritha Posted on May 19 I Built a Local AI That Queries My Database — No Cloud. No Legal Panic. No Compromise. #ai #python #langchain #pgaichallenge Here's the situation that kicked this whole thing off. The team wanted natural language querying on an internal database. Product loved it. Engineering said sure. Then Legal looked up from their laptop — mild alarm on face — and asked: "Are we streaming employee salary records to a third-party server?" One sentence.
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