/explore
|
You are here 
|
geo.rocks | ||
| | | | |
www.telesens.co
[LatexPage] In this post, I'll describe some experiments on word2vec, a technique invented by researchers at Google that aims to find compact vector representations for words in a natural language that capture natural semantic relationships between words. For example, vec("Madrid") - vec("Spain") should be close to vec("Paris") - vec("France"). I refer you to the original paper |
|
| | | | | ||
| | | | |
qdrant.tech
Our new Query API allows you to build a hybrid search system that uses different search methods to improve search quality & experience. Learn more here. |
|
| | | | | ||
| | | | |
michael-lewis.com
An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG). |
|
| | | | | ||
| | | | |
simonwillison.net
|
|
| | | |||
