Conventional search mechanisms break down at this scale, but vector search ... databases, the question is converted into an embedding and used to perform the search. For example, I might say ...

and Scale AI Applications Application developers can easily start or swap their AI stack to Aerospike Vector Search for better outcomes at a lower cost. A new simple Python client and sample apps ...

Vector databases are ideal for applications where the goal is to find data points similar to a given vector. For example ... and elastic scale. Vector databases have built-in search capability ...

Enterprises need to choose a platform capable of high scale ... question that agentic AI will be a game changer, unlocking the value of data that's been underutilized for years. But without vector ...

Now imagine having a way to store data and actually be able to ask it questions ... He explained that vector search engines are not new — Google Search is an example of a solution built on ...

But the question is, how can you make the most ... corresponding to the coordinates in the vector space. A simple example of a vector is a vector in two-dimensional space, which is represented ...

Vector embeddings on data lakehouse not only avoids the ingress and egress complexities and cost but also can scale to massive volumes,” said Kaushik Muniandi, engineering manager at NielsenIQ. “We ...