In the previous article [“Talk about the similarity retrieval technology Faiss from the Metaverse factory Meta”], we talked about how to quickly get started with vector retrieval technology, and use the faiss produced by Meta AI (Facebook Research) to achieve “the most basic” Text Content Similarity Retrieval Tool”, initially came into contact with “semantic retrieval”, an emerging technology that has “dimension reduction strike” for traditional text retrieval methods. A friend mentioned in the chat that he hoped to be able to talk more specifically, such as how much better semantic retrieval based on vector technology is than traditional text retrieval, and whether there are limitations. Simple comparison. So, this article tries to talk about it from this angle.
This article is reprinted from: https://soulteary.com/2022/09/10/the-dimensionality-reduction-of-traditional-text-retrieval-methods-using-faiss-to-achieve-vector-semantic-retrieval.html
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