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3min chapter
Data augmentation with LlamaIndex
Practical AI: Machine Learning, Data Science, LLM
The Different Types of Embeddings
An embedding is just a vector of numbers, usually like floating point numbers. And so it's a way of like condensing a piece of text into some vector of numbers that has some mathematical properties where you can measure similarity between different pieces of content. So for instance, if you look at the biography of a singer, it's going to be pretty close to biography of another singer versus if it's about, I don't know, like the American Revolution or something like that,. Lama index is sort of not a a vector store. But we're really trying to build this like broader set of like abstractions and tools through our indices, our query interfaces, plus other abstractions that we
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