Agentic retrieval in Azure AI Search boosts answer relevance by 40% with multiturn query planning. Now in public preview.

Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time. This paper presents the architecture of a distributed image retrieval system which ...

In our approach, we divide the image contour into two types. The first is the global contour map. The second, called the salient contour map, is helpful to find out the object in images similar to the ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

The page is dead. Long live the stack. Here's how vector databases, embeddings, and Reciprocal Rank Fusion have changed the ...

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