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At the recent AWS Summit in New York City, AWS announced the preview of Amazon S3 Vectors, claiming to be the first cloud ...
AgentCore-powered agents and other AI applications can keep their data in Amazon S3 Vectors, a new storage offering that also ...
Enterprise Vector Store is currently available in private preview with general availability expected in July. However, it is unclear whether it will be added to Teradata’s Vantage Cloud.
The announcement of S3 Vectors has sparked intense discussion, with some speculating that it could disrupt the vector database market.
Enterprise Vector Store is currently in private preview, with a general availability anticipated in July. This launch signifies Teradata's ongoing commitment to supporting businesses in their data ...
S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.
As the problem scope grows—and more users interact with the AI—the importance of a robust vector store increases, ensuring the AI can deliver fast and accurate results.
Enterprise Vector Store is designed for flexible deployment across cloud and on-premises environments and is currently in private preview, with general availability set for July 2025.
Vector databases are important for search tasks and grounding AI responses, Microsoft said. These databases are built to store, index, and manage data represented as embedding factors.
LAS VEGAS, Sept. 21, 2023 — Oracle has announced significant enhancements to MySQL HeatWave, including support for vector store, generative AI, new in-database machine learning features, MySQL ...
Implement vector databases: Set up a vector database to store your data's embedded representations. This database will serve as the backbone of your RAG system, enabling efficient and accurate ...
Google Cloud has introduced scalable vector-search capabilities to its Memorystore for Valkey and Redis Cluster. This update allows developers to perform vector searches at ultra-low latencies over bi ...
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