Embeddings
6 pieces on Embeddings, including 1 step-by-step guide.
Guides
News & Analysis
Sentence Transformers v6.0 Adds ColBERT Training in 14.5 Hours on One GPU
Sentence Transformers v6.0 adds MultiVectorEncoder with full ColBERT-style training. A single RTX 3090 run beats every zero-shot retriever by 0.06 NDCG@10.
ME-POIs: Google's 53.7M-Parameter Model Adds Visit Rhythms to Place Embeddings
Google Research's ME-POIs boosts text-based place embeddings with human movement data, hitting +81.9% F1 on visit intent and beating Gemini on price-level classification.
ColBERT Late Interaction Lands in Sentence Transformers v6.0
Sentence Transformers v6.0 adds MultiVectorEncoder, bringing ColBERT-style late interaction retrieval—42× larger indexes, 26-point MLDR gains—into one pip install.
OlmoEarth Studio Now Exports Custom Embedding Vectors as COGs
Allen Institute for AI adds COG embedding exports to OlmoEarth Studio, enabling similarity search, few-shot segmentation, and change detection with three encoder sizes.
Why Vector Databases are Essential for Enterprise AI
A deep dive into embeddings, semantic search, and why standard SQL databases aren't enough for LLM context retrieval.