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 ...

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

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.

But now vector databases are finding themselves smack dab in the middle of the hottest workload in tech: large language models (LLMs) such as OpenAI’s GPT-4, Facebook’s LLaMA, and Google’s LaMDA. In ...

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

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 ...

Milvus, a Linux Foundation AI and data project, for example, is a well-known vector database of choice among enterprises that’s easy to try out because of its vibrant open source development.

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 ...