βI'm feeling sleepy.β
βI'm really tired.β
Different words. Similar meaning.
Thatβs where Similarity Search comes in. Text can be converted into embeddings (vectors), and similar meanings are represented closer together in vector space.
So instead of searching only for the exact same words, we can find results with a similar meaning.
This is used in search engines, chatbots, recommendation systems, document search, RAG, and much more.
Day 1 of learning something Iβm curious about. π

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