Uploaded July 2024 | Updated September 2026, 8 hours ago

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Pamela Fox

pretalx.northbaypython.org/nbpy-2024/talk/DLYZFF

Vector embeddings are a way to encode a text or image as an array of floating point numbers, and they make it possible to perform similarity search on many kinds of content. Let's try to wrap our head around vector embeddings and similarity spaces by exploring them visually! We'll compare different embedding models, different quantization schemes, and different input modalities, using open source tools that produce graphs and charts. Come on a vector voyage!

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Sat Jun 29 10:55:00 2024 at Reis River Ranch