In this guest post, Frank Liu, Director of Operations & ML Architect @ Zilliz, conducts a quick tour of Similarity Search, comparing embeddings and vector search strategies. An introduction to Similarity Search Vector similarity search is finding similar vectors in a high-dimensional vector space. It has become a critical tool for many applications, such as recommendation systems, image and video search, and natural language processing (generative AI). This blog will discuss the concept of vector similarity search, its importance, and some techniques used to perform this search.
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📝 Guest Post: An introduction to Similarity…
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In this guest post, Frank Liu, Director of Operations & ML Architect @ Zilliz, conducts a quick tour of Similarity Search, comparing embeddings and vector search strategies. An introduction to Similarity Search Vector similarity search is finding similar vectors in a high-dimensional vector space. It has become a critical tool for many applications, such as recommendation systems, image and video search, and natural language processing (generative AI). This blog will discuss the concept of vector similarity search, its importance, and some techniques used to perform this search.