Embeddings & Vector SearchTomas Mikolov et al. (Google)Google

Mikolov et al. at Google present word2vec

Presented word2vec — made large-scale training that places words in a continuous vector space practical

Why it matters

The starting point of every dense retrieval and embedding stack that followed

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/1301.3781

Added in Week 35, 2026 · See that week

Nearby on the same axis

Jégou et al. publish Product Quantization for Nearest Neighbor SearchOfficialMalkov and Yashunin present HNSWPaperFAIR presents FAISSPaperNogueira and Cho present Passage Re-ranking with BERTPaper