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README.md

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-SingleStoreDB has first-class support for vector search through our Vector Functions. Our vector database subsystem, first made available in 2017 and subsequently enhanced, allows extremely fast nearest-neighbor search to find objects that are semantically similar, easily using SQL.
+**[SingleStoreDB](https://singlestore.com)** has first-class support for vector search through our [Vector Functions](https://docs.singlestore.com/managed-service/en/reference/sql-reference/vector-functions.html). Our vector database subsystem, first made available in 2017 and subsequently enhanced, allows extremely fast nearest-neighbor search to find objects that are semantically similar, easily using SQL.
 
 SingleStoreDB supports vectors and vector similarity search using dot_product (for cosine similarity) and euclidean_distance functions. These functions are used by our customers for applications including face recognition, visual product photo search and text-based semantic search. With the explosion of generative AI technology, these capabilities form a firm foundation for text-based AI chatbots.