Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

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, ...

The AI economy is projected to reach $17 trillion by 2028, fundamentally altering how organizations architect their infrastructure. Driven by this shift, 95% of major global enterprises are on a ...

Perplexity has released pplx-embed, a collection of multilingual embedding models optimized for large-scale retrieval tasks. These models are designed to handle the noise and complexity of web-scale ...

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While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively integrated with ClickHouse, delivering ...

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 ...

Ideal for projects needing vector search without relying on external Postgres instances or Docker. ⚠️ Note: The included TypeScript code is intended as example usage only. It is not production-ready ...