Outer Web | Explore

Explore >> Select a destination

You are here		mccormickml.com Product Quantizers for k-NN Tutorial Part 1 · Chris McCormick
\|	\|	erikbern.com New approximate nearest neighbor benchmarks · Erik Bernhardsson	3.3 parsecs away Travel
\|	\|	Approximate nearest neighbor search is very useful when you have a large dataset of millions of datapoints and you learn some kind of vector representation of these items. I built a benchmark suite called ann-benchmarks. It pits a number of algorithms in a brutal showdown.	3.3 parsecs away Travel
\|	\|	blog.pamelafox.org A visual introduction to vector embeddings	4.6 parsecs away Travel
\|	\|	For Pycon 2025, I created a poster exploring vector embedding models, which you can download at full-size . In this post, I'll translate ...	4.6 parsecs away Travel
\|	\|	jkatz.github.io Vectors are the new JSON in PostgreSQL \| Jonathan Katz	6.4 parsecs away Travel
\|	\|	A new demand for storing an old data type in PostgreSQL.	6.4 parsecs away Travel
\|	\|	codeincomplete.com AI, ML, and Large Language Models \| Jake Gordon	26.6 parsecs away Travel
\|		Personal Website for Jake Gordon	26.6 parsecs away Travel