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 mccormickml.com
Product Quantizers for k-NN Tutorial Part 1 · Chris McCormick
| | 0x65.dev
Indexing Billions of Text Vectors
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| | Optimizing memory-usage for approximate nearest neighbor search
| | lantern.dev
Estimating memory footprint of your HNSW index | Lantern Blog
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| | This interactive visualization will help you quickly reason about the resources necssary to host your embeddings and serve nearest neighbor queries over them
| | erikbern.com
Nearest neighbor methods and vector models - part 1 · Erik Bernhardsson
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| | 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.
| | blog.pamelafox.org
Doing RAG? Vector search is *not* enough
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| I'm concerned by the number of times I've heard, "oh, we can do RAG with retriever X, here's the vector search query." Yes, your retrie...