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 ...

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

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 ...

Zilliz is looking to become the preferred vector database choice for LLM-powered applications through strategic enhancements and a cost-effective new pricing model that now includes ... built for ...

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 ...