Easysearch Vector Search: From Theory to Hands‑On Implementation

This article explains the principles of vector search, compares Easysearch's approximate (LSH) and exact kNN APIs, and walks through a complete hands‑on example using Stanford's 50‑dimensional GloVe embeddings to index, import, and query semantically similar words.

Approximate SearchCosine SimilarityEasysearch

0 likes · 9 min read