Visit the Friends of OpenJDK Today DataStax Performance Tools page to learn about how Cohere released a dataset containing all of Wikipedia in vectors with their multilingual-v3 model. This dataset allows for the creation of a semantic, vector-based index of Wikipedia, a feat that was previously costly for individuals to achieve. The page details the challenges faced in indexing large datasets and explains how JVector, the library behind DataStax Astra vector search, now supports indexing larger-than-memory datasets efficiently. By following the provided instructions, you can index all of Wikipedia on a laptop using JVector and Chronicle Map. Happy hacking!
https://foojay.io/today/indexing-all-of-wikipedia-on-a-laptop/