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.

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 ...

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 ...

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 ...

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.

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot ...

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 ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...