Hi, folks, We just release an alpha version of Simbase, a vector similarity database that talks redis protocol. Since it is the first version of all its releases, we decided to keep it in alpha right now, for we want to hear from the community for any comments and improvements.
Github page ------------------ https://github.com/guokr/simbase We introduce the basic idea, limitations, build process and commands there. Background ------------------ Simbase is a tool we developed during the process we revise our content recommendation engine. Our document set have 300k docs, and we use LDA to change them into vectors. But how to compare the 300k vectors was a problem for us then. We had tried different method, but the performance is not very good. Since the comparison logic is quit simple, we decided to write a new data store to do the tricks. So far, we are satisfied by its performance. Under the setting of an i7 MacBook and 120k 1k-dimensional vector set: - write: about 1 ops per second - read: up to 1k ops per second The real read performance may be higher than the current result, because our testing method is limited. Regards, Mingli -- -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to clojure+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
