The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...
SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.
Simplyblock, the NVMe/TCP software-defined storage platform for modern cloud-native environments, is launching the public beta of Vela—a new Postgres platform that introduces Git-style branching, ...
Abstract: Vector databases have emerged as the computation engine that enables us to successfully interact with vector embeddings in our applications as a result of the exponential rise of vector ...
Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...
Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases Snowflake Horizon Catalog ...
Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...
Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...
SAN FRANCISCO--(BUSINESS WIRE)--ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively ...
MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...
Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version 2.6.4), among the world’s ...
TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...
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