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# Introduction # Introduction
![qdrant](/images/logo_with_text.png)
Vector databases are a relatively new way for interacting with abstract data representations Vector databases are a relatively new way for interacting with abstract data representations
derived from opaque machine learning models such as deep learning architectures. These derived from opaque machine learning models such as deep learning architectures. These
representations are often called vectors or embeddings and they are a compressed version of representations are often called vectors or embeddings and they are a compressed version of