Category: Embeddings
-
Optimizing Vector Search: Why You Should Flatten Structured Data
Optimizing Vector Search: Why You Should Flatten Structured Data An analysis of how flattening structured data can boost precision and recall by up to 20% The post Optimizing Vector Search: Why You Should Flatten Structured Data appeared first on Towards Data Science. Oleg Tereshin Go to original source
-
When (Not) to Use Vector DB
When (Not) to Use Vector DB When indexing hurts more than it helps: how we realized our RAG use case needed a key-value store, not a vector database The post When (Not) to Use Vector DB appeared first on Towards Data Science. Uri Peled Go to original source
-
A Review of AccentFold: One of the Most Important Papers on African ASR
A Review of AccentFold: One of the Most Important Papers on African ASR I really enjoyed reading this paper, not because I’ve met some of the authors before, but because it felt necessary. Most of the papers I’ve written about so far have made waves in the broader ML community, which is great. This one, though,…