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If you're confused (like me) and don't know what "neural search" is, here's an explainer https://medium.com/jina-ai/what-is-jina-and-neural-search-7a9e166608ab
by akie 5y ago
If you're confused (like me) and don't know what "neural search" is, here's an explainer https://medium.com/jina-ai/what-is-jina-and-neural-search-7a9e166608ab https://medium.com/jina-ai/what-is-jina-and-neural-search-7a... (scroll down a bit)
- gk1 5y ago“Vector search” is more commonly used, so you might’ve heard it called that. In case not: https://www.pinecone.io/learn/what-is-similarity-search/ https://www.pinecone.io/learn/what-is-similarity-search/
- throwaway81523 5y agoThat article is very basic and fluffy, but the more technical article that it is based on and links to is excellent, so thanks for (indirectly) pointing to it: https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End-Product-Search-using-Tensorflow/ https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End... The other stuff on that guy's (Han Xiao's) blog also looks interesting. I think this neural search stuff explains why we're all getting such low-precision results on Google/DDG by the standards we were used to. But, the claimed advantages are impressive. This is a big change in how search engines work, and I was unfamiliar with it before. I still have reservations about where enough training data is supposed to come from, without already having a big system and user base. But, maybe some more info about that is out there. So this is another thing to look into. Wow.