“A vector database organizes and stores vectors ... types are vectors and the query patterns are vector search. The difference may be hard to spot with very small use cases, but the difference ...

Learn More Real time database vendor Rockset is expanding ... KNN and ANN based on the query and data. The SQL queries in Rockset allow combining vector search with other metadata filters.

Forrester sees the market for vector database divided into two main segments: native vector DBs and multi-modal vector DBs. The key difference between the camps, Forrester says, is the greater ...

Register now. Microsoft recently launched a public preview of native vector support for the Azure SQL Database. With this update, the database can now store and process vector embeddings directly ...

a new subset of the database market forms, he said. That happened with relational databases and no-SQL databases, and that’s happening with vector databases, he said. Vectors are a very ...

Scalability is essential for determining whether a vector database can handle exponentially growing data effectively. When evaluating scalability, we must consider horizontal vs. vertical ...

We built software to scan electrophoresis samples into a database ... encode similarities and differences between different data, like two colors would be a closer vector representation.

This is called semantic search, and it also clarifies words with multiple meanings, like the difference between ... certain content is held by a vector database. Sometimes, an attacker won ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...