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Vectorisation turns data such as text into numerical vectors that models can work with.
Vectorisation involves converting non-numerical data, such as text, into vectors of numbers. It is the prerequisite for any mathematical processing by a model.
Applied to the meaning of words, it produces embeddings and enables the semantic search at the heart of RAG systems.
The resulting vectors are stored in vector databases, optimised to quickly retrieve similar content.
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