Outer Web | Explore

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You are here		0x65.dev Indexing Billions of Text Vectors
\|	\|	erikbern.com Nearest neighbor methods and vector models - part 1 · Erik Bernhardsson	1.7 parsecs away Travel
\|	\|	This is a blog post rewritten from a presentation at NYC Machine Learning last week. It covers a library called Annoy that I have built that helps you do (approximate) nearest neighbor queries in high dimensional spaces.	1.7 parsecs away Travel
\|	\|	ravendb.net Scaling HNSW in RavenDB: Optimizing for inadequate hardware - Ayende @ Rahien	1.6 parsecs away Travel
\|	\|	RavenDB 7.0 introduces vector search using the Hierarchical Navigable Small World (HNSW) algorithm, a graph-based approach for Approximate Nearest Neighbor s...	1.6 parsecs away Travel
\|	\|	lantern.dev Estimating memory footprint of your HNSW index \| Lantern Blog	2.2 parsecs away Travel
\|	\|	This interactive visualization will help you quickly reason about the resources necssary to host your embeddings and serve nearest neighbor queries over them	2.2 parsecs away Travel
\|	\|	blog.lukesalamone.com How does HNSW work? :: Luke Salamone's Blog	7.2 parsecs away Travel
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