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What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...
Our friends at Legaltech News joined an emerging industry discussion earlier this month with an interesting story regarding retrieval augmented generation… Our friends at Legaltech News joined an ...
Have you ever found yourself frustrated by incomplete or irrelevant answers when searching for information? It’s a common struggle, especially when dealing with vast amounts of data. Whether you’re ...
The Fast Company Impact Council is an invitation-only membership community of top leaders and experts who pay dues for access to peer learning, thought leadership, and more. BY Julius Černiauskas ...
Vectara Inc., a startup that helps enterprises implement retrieval-augmented generation in their applications, has closed a $25 million early-stage funding round to support its growth efforts. The ...
AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...
Things are moving quickly in AI — and if you're not keeping up, you're falling behind. Two recent developments are reshaping the landscape for developers and enterprises alike: DeepSeek's R1 model ...
Many EDA companies have taken the first steps to incorporate generative AI into their tools, and in such tightly controlled environments GenAI appears to have great benefits. But its broader adoption ...
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...