Unlock next-level RAG performance with Jina v4, the embedding model designed for precision, efficiency, and complex data ...

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...

In its most ambitious move yet, CARV is unveiling a new AI roadmap designed to shift Web3-AI convergence from passive ...

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

Discover the latest trends in crypto with our analysis of new crypto presales making waves. Explore expert insights to stay ...

Cloudflare NET is implementing artificial intelligence (AI) initiatives across its portfolio and experiencing strong traction ...

Microsoft is aiming to make the search process more natural with the introduction of NLWeb, or natural language Web. NLWeb ...

These high-accuracy elements must be passed to the model on demand to produce the best possible answer. “Even with a 2 million-token context, you don’t want to overload the model,” said Gutmans.

This white paper discusses the critical infrastructure needed for efficient AI model training, emphasizing the role of network capabilities in handling vast data flows and minimizing delays. It ...

But since each vector is a high-dimensional float array, performing brute-force similarity comparisons across a large dataset can become prohibitively expensive, which is where vector indexing comes ...

Provided by PR Newswire May 6, 2025, 10:00:00 PM OpenSearch 3.0 Enhances Vector Database Performance, Search Infrastructure and Scalability to Meet AI-driven Demand ...

Vector embeddings are produced by foundational models such as OpenAI's ChatGPT and are used to represent chunks of language – like words or phrases. The idea is to add vector search to a database, ...