A vector database becomes essential when handling unstructured data requiring complex algorithmic work, such as high-dimensional data, similarity searches, real-time AI applications, or when ...

Data types. Vector embeddings were the rookies of the year in 2024 as new data types. ... Simply stated, good models require good data, and AI governance depends on data governance.

Let’s start with a truth that too many people still overlook — not all data is good data. Just because something is sitting ...

AgentCore-powered agents and other AI applications can keep their data in Amazon S3 Vectors, a new storage offering that also ...

Vector stores are the water of generative AI, agentic AI and systems that include retrieval-augmented generation (RAG), so building them now will give businesses the foundation they need for the ...

SAN FRANCISCO--(BUSINESS WIRE)--Airbyte, creators of the fastest-growing open-source data movement platform, today made available additional connectors for the Milvus, Qdrant and Weaviate 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 ...

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.

NEW YORK, April 30, 2025 /PRNewswire/ -- BigID, the leader in data security, privacy, compliance, and AI data management, announces an industry-first capability to label data within vector ...