Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

and any data that doesn't adhere to a predefined data model. Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents ...

embedding_model = SentenceTransformer('multi-qa-mpnet ... operator (<==>) and to extend our RDBMS knowledge to encompass vector data via the installed pgvector extension. As a result, we can ...

He highlights the main difference in his implementation: The most interesting part of Vector Sets is the data model and the API supporting it. Many databases propose vector similarity as a kind of ...

In his view, database vendors that have multi-model approaches where the vector is just another data type are not able to outperform Pinecone. Liberty emphasized that vector has always been ...

and any data that doesn't adhere to a predefined data model. Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and ...