Enter vector databases, a new solution designed to handle unstructured data in a way that feels intuitive and context-aware. By representing data as mathematical embeddings—essentially capturing ...

With today’s launch of Timescale Vector, the company is now entering the market for vector databases, which is flourishing as a result of the massive interest in generative AI applications built atop ...

“A vector database encodes information into a mathematical representation that is ideally suited for machine understanding,” says Josh Miramant, CEO of BlueOrange.. “These mathematical ...

Why merging vector database and keyword search is more than the sum of two parts. ... which are mathematical embeddings, in a way that can accelerate performance for queries.

While other vector database companies use Splade, Vasnetsov said BM42 is a more cost-efficient solution. “Splade can be very expensive because these models tend to be really huge and require a ...

Embeddings are a type of vector, a mathematical structure that lends itself well to storing information. Vector databases such as Zilliz Cloud are specifically optimized to hold AI models ...

A Microsoft senior software engineer named Alice Vinogradova has ported a database she wrote in SAP’s ABAP language to the ...

A Vector DB stores and manages unstructured data — text, images, audio, etc. — as vector embeddings (numerical format). These embeddings capture the semantic relationships between the data points.

Vector database startups fit squarely into that remit — and some startups in the space have already raised hundreds of millions of dollars from investors. Early leaders include Pinecone, which ...

Open-source database provider Qdrant has made available Qdrant Hybrid Cloud, a dedicated vector database to be offered in a managed hybrid cloud model.. Qdrant, the open-source foundation of both ...