Funny this has come up – I've literally just finished building a RAG search with Postgres this morning.
I run a directory site for UX articles and tools, which I've recently rebuilt in Django. It has links to over 5000 articles, making it hard to browse, so I thought it'd be fun to use RAG with citations to create a knowledge search tool.
The site fetches new articles via RSS, which are chunked, embedded and added to the vector store. On conducting a search, the site returns a summary as well as links to the original articles. I'm using LlamaIndex, OpenAI and Supabase.
It's taken a little while to figure out as I really didn't know what I was doing and there's loads of improvements to make, but you can try it out here: https://www.uxlift.org/search/
I run a directory site for UX articles and tools, which I've recently rebuilt in Django. It has links to over 5000 articles, making it hard to browse, so I thought it'd be fun to use RAG with citations to create a knowledge search tool.
The site fetches new articles via RSS, which are chunked, embedded and added to the vector store. On conducting a search, the site returns a summary as well as links to the original articles. I'm using LlamaIndex, OpenAI and Supabase.
It's taken a little while to figure out as I really didn't know what I was doing and there's loads of improvements to make, but you can try it out here: https://www.uxlift.org/search/
I'd love to hear what you think.