The mighty Z80 processor ran the code at astounding speed, proving retro-tech got a lot of things right A Microsoft senior ...

A vector database is just like any other database in that it stores data. From there, the similarity mostly ends — especially when it comes to artificial intelligence. Most traditional databases ...

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 ...

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 ...

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.

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 ...

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 ...

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 ...