I used web scraping -> vector embeddings -> vector DB search here. The chat functionality is built on top of search and AWS pages are used as context for better

I used web scraping -> vector embeddings -> vector DB search here. The chat functionality is built on top of search and AWS pages are used as context for better responses. The hard part was the fact that AWS Documentation is so large so embedding took a while. Also happy to chat and answer any questions you have on your personal projects!