[PostgreSQL] Offer affordable managed service for AI-powered semantic search

You don't need a specialized Vector Database to build AI apps. I have written ~170 newsletters over the last few years. The problem? Finding anything specific is a nightmare. Keyword search is brittle. If I search for "handling failures," I might miss an article about "exceptions" or "retries" because the words don't match exactly. I wanted 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵. It's the ability to search by concept rather than keywords. Usually, this means spinning up a specialized Vector Database. But for a side project or MVP, that often feels like overkill (and over-budget). So, I built it with 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 instead. Here is the "stack" I used: 1. .𝗡𝗘𝗧 𝟭𝟬 for the API. 2. 𝗢𝗽𝗲𝗻𝗔𝗜 to generate vector embeddings for my content. 3. 𝗔𝗶𝘃𝗲𝗻 𝗳𝗼𝗿 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 to store the data and vectors. I enabled the pgvector extension, indexed my content, and now I can query "nearest neighbors" with simple SQL. The best part? I'm running this on 𝗔𝗶𝘃𝗲𝗻'𝘀 𝗻𝗲𝘄 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗧𝗶𝗲𝗿. For just $𝟱/𝗺𝗼𝗻𝘁𝗵, I got a dedicated environment that is actually production-ready. - 8GB Storage (plenty for millions of embeddings) - Always-on (no "cold starts" or sleeping databases like other providers) - Managed (automated backups and updates included) It's perfect for the indie hacking or prototyping phase, where you want enterprise-grade tools without the enterprise price tag. You can spin up the exact same stack I used right here: 👉 https://fandf.co/4oC21k9 What would you build if you had a managed Postgres instance for the price of a coffee? P.S. Huge thanks to Aiven for sponsoring this post.