Zilliz is looking to become the preferred vector database choice for LLM-powered applications through strategic enhancements and a cost-effective new pricing model that now includes ... The company is ...

Vector search helps build generative AI apps. In an effort to help enterprise build applications based on generative AI from data stored in MongoDB, the company has introduced a vector search ...

And with Microsoft recently adding native support for vector data types and indexing to both SQL Server and Azure ... introducing vector columns may require schema evolution, which can be disruptive.

Database schema management startup Ariga Technologies Ltd. said today it has closed on an $18 million early-stage funding round led by Tiger Global, TLV Partners and with participation from some notab ...

No Iceberg or data lake table schema is part of Search AI Lake. ... “What you’re going to be able to see now is the most scalable vector implementation out there,” Kulkarni said.

DataStax, the well-funded Apache Cassandra-centric database company, is placing a lot of its current bets on AI and its technology’s ability to provide highly scalable vector search capabilities ...

And it’s far from the only vector database startup to raise cash of late — Vespa, Weaviate, Pinecone, and Chroma collectively raised $200 million last year for various vector offerings.

VCs are hungry to back vector database startups and other behind-the-scenes tech that improves AI. Vector databases store and structure data that LLMs can then pull from. Business Insider has ...

The three-level database management system (DBMS) architecture splits databases into three distinct layers: An internal DBMS schema for low-level storage tasks. A conceptual DBMS schema for logical ...