Microsoft has introduced its Microsoft.Extensions.VectorData.Abstractions library, now in preview. The library provides abstractions to help integrate vector stores into .NET applications and ...

That is what SeMI Technologies is building with Weaviate, a vector search engine. It is a unique type of AI-first database using machine learning models outputting vectors, also known as ...

Big Data analytics (42%), advanced robotics (30%), mobile technologies and applications (36%), Internet of things/cyber-physical systems (36%) and digital manufacturing (29%) are the top five ...

Anuff explained that DataStax’s vector search uses vector columns as a native data type in Astra DB. With vectors as a data type, Astra DB users can query and search much as they would with any ...

When Pinecone was founded in 2019, vector database technology was not widespread. That’s no longer the case as nearly every major database vendor including Oracle , MongoDB , DataStax and even ...

Artificial intelligence-driven search and discovery startup Marqo.ai said today it has closed on an A$8 million (about $5.2 million USD) seed funding round.The lead investor in the company, offic ...

In this exclusive virtual interview with DATAQUEST, Srini Srinivasan discusses the transformative role of vector databases, the challenges of scaling AI at real-time speed, the evolving architecture ...

Chroma helps manage vector embeddings, or numerical representations of data AI models can process. This is a key technology for generative AI founders building on top of models like OpenAI's GPT-4.