4 ms·

Weaviate calling themselves a vector database is a fairly new thing.

• opisthenar84 4y ago
  The fact that Weaviate only recently started calling themselves a vector database is completely irrelevant here. They had this type of vector data infrastructure before Pinecone did, and that's all that matters. Example: I'm going to start a new company called Conifercone and do pretty much exactly what you do, but call it a "vector datastore" instead. Apparently I've now created the first ever vector datastore even though functionally I have done nothing novel.
• thirdtrigger 4y ago
  I'm affiliated with Weaviate, so maybe nice to get this out here for the record :) We call Weaviate a "vector search engine" (i.e., we prefer "vector search engine" because it describes the type of database) since around Aug, 2020 Github: https://github.com/semi-technologies/weaviate/tree/a3967aff5ef6db380ed3b93e9879fead3ac777d6 https://github.com/semi-technologies/weaviate/tree/a3967aff5... The reason was simple; our community started to say that the mixed vector and scalar filter search capabilities were what they liked most. Also, our benchmarks are available for quite some time here: https://weaviate.io/developers/weaviate/current/benchmarks/ann.html https://weaviate.io/developers/weaviate/current/benchmarks/a... They are based on ann-benchmarks.com but adjusted for full databases.