i have already posted this on / λ / but none replied so sorry for posting again but i do need some help.
i have a dataset where there are essays with urls from they are fetched and links of twitter bookmarks and the content of twitter bookmarks and all my github stars's and there title and my youtube watch later's title and urls what should be the best way to convert this into a vector database such that all of them can be inter connected and all the stuff that should be together for example a twitter bookmark and its url are interconnected so that i can use it with an LLM to interact with that data.
i would be adding more stuff as i go too i guess i can also make an neural map(idk if that means anything)