The fundamental purpose of this study was to investigate the dynamic weighted average consensus of time-varying open multi-agent systems (MASs) on time scales, where the open feature refers to the ...

MongoDB's Sachin Chawla details India & Asia's data landscape, powering startups like Zepto, AI innovation with Voyage AI, ...

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Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open ...

Speaking exclusively to AIM, CockroachDB CEO Spencer Kimball stated that the shift towards distributed SQL databases built on ...

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

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Large-scale platform integrations that initially provided traditional databases and infrastructure also began to offer vector capabilities — for example, Google Cloud, MongoDB Atlas, SAP HANA ...

I hope the integration of Milvus, a leading vector database, into the RAGFlow platform. The decision is inspired by the widespread adoption of Milvus in other prominent AI and RAG projects such as ...

But without vector stores—specifically those that integrate with existing databases—enterprises will struggle to understand their data, connect AI initiatives to broader goals and use agentic ...

At the same time, clients are creating large stores of unstructured data – images, audio, PDFs, or email, for example – and employing vector search on top to make sense of their own information in ...