Viewing profile — jkb79

ColBER: Contextualized Late Interaction over BERT. That is just the name. It can be fine-tuned for retrieval using any encoder-only model like the ones you mention.

Yes, Vespa has a generic Tensor framework that allows you to index multiple vectors for a single field, see https://blog.vespa.ai/semantic-search-with-multi-vector-inde... for deta…

Actually, Vespa comes out of the same FAST company. Yahoo bought Overture/Altavista and a lot of other web search companies in 2003, including the web search division of FAST. The …

Hehe, it was a joke, we don't have polar bears on the mainland of Norway. But, it was fun to show the photo to visitors from different countries. "Be careful when you walk back to …

Disclaimer, I work on Vespa. If you look for just pure vector similarity search, there are many alternatives. But Vespa's tensor support, multi-vector indexing and the ability to e…

Vespa was the internal code name for the project going back to 2005ish, vertical search platform.

Thank you for the shout-out Frank!

Yeah, I worked with the Flickr team on that project. Scaling to billions of photos, with partial update support of popularity for ranking. Back then, the properties had to stand up…

>I don't see a ton of data that points towards us (vector DB ppl) building >towards traditional TREC/BEIR #s. This is highly accurate, most vector database companies don't talk abo…

It's an opinionated blog post published on Arxiv, masquerading as research. IMHO, it's a gigantic self-own and doesn’t promote Lucene in a good way. For example, by demonstrating h…

Very good point, plus that if you introduce approximate search instead of exact search, you can only loose quality and in some cases the loss is so significant that it becomes wors…

Faiss implements multiple different ANN algorithms, and some like IVF can use disk based indexes.

Disclaimer, I'm a developer working on the Vespa.ai project. One reason is that we simply don't have DevRel teams or marketing teams, but we still have decent interest, from large …

That is a very good analogy!

Only Vespa allows you to index multiple vectors per schema field, avoiding duplicating all the meta data of the document into the "chunk", and avoids maintaining the document to ch…

Yes, https://blog.vespa.ai/vespa-hybrid-billion-scale-vector-sear...

Friendly reminder, code that you can read is not open source. The particular repo does not have any license information and cannot be considered open source.

Interesting to see how deep learning is applied to search using learned vector representations of documents (podcasts) and user queries.