Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...

It turns out that AWS customers prefer vector capabilities in existing databases rather than a dedicated vector database offering, according to Sivasubramanian. “They told us they want to use them in ...

In other words, vector databases are like a specialty store that provides a specific type of services to customers. SVDBs' strength in their specificity, however, can be a weakness for many users.

Vector Databases excel in conducting large-scale similarity searches and streamlining data management for cutting-edge AI applications. Their key advantage lies in supporting specialized vector ...

Since 2023, so many database systems have announced vector search as a core feature that it hardly distinguishes them from the competition. For example, MongoDB, Cassandra, PostgreSQL, Snowflake ...

Parallels between our brains and vector databases go deeper than retrieval. Both excel at compression, organizing and identifying patterns. Skip to main content ...

And while LLMs and Vector Databases seem to be on-trend (Taylor Swift is trendier), the notion of vector-based representations, crucial in modern natural language processing, has deep roots.

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 ...

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...