Relevance AI

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Developer-first Vector Platform

At Relevance AI our mission is to accelerate developers to solve similarity and relevance problems through data, we started with the data type that all the top tech companies use - Vectors, a high dimensional representation of data used to determine similarities between data.

At Relevance AI our mission is to accelerate developers to solve similarity and relevance problems through data, this enable important use cases such as recommendations, topic modelling, semantic search, zero-shot classification and more.

Our first step towards helping teams solve similarity and relevance, we started with the data type that all the top tech companies use - Vectors, a high dimensional representation of data used to determine similarities between data.

In the vector workflow to solve similarity and relevance problems, we decided to focus heavily on the foundation of all good solutions - the experimentation stage. Our experimentation-first approach help users experiment, tune and prototype various vector weightings, configurations, data structures and vector search methods to improve their vectors.