Wikipedia is a huge source of knowledge. Loading it into a vector database can be complex and expensive, as it involves parsing the Wikipedia dumps, choosing the appropriate vectorisation model, and finally building a system that not only vectorises the data on load, but also for each individual query.
Vecto takes care of most of this complexity by providing sensible choices for the vectorisation model and then embedding it in the database. You can use it without even knowing what a vector is.
However, loading Wikipedia into any database is still a complex enough task. That is why we provide a read-only API access key to anyone who requests it. In this way, you can get to know the benefits of using Vecto as your vector database without having to wait for a large amount of data to be loaded in first.