Tag: keyword matching
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Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…
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Hacker News: Magna: Embedding similarity search tool for searching within large documents
Source URL: https://github.com/yousef-rafat/Magna Source: Hacker News Title: Magna: Embedding similarity search tool for searching within large documents Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into a tool named Magna, which employs Embedding Similarity Search, a method leveraged in large language models (LLMs). This functionality allows for semantically understanding and…
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Cloud Blog: Tailor your search engine with AI-powered hybrid search in Spanner
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/hybrid-search-in-spanner-combine-full-text-and-vector-search/ Source: Cloud Blog Title: Tailor your search engine with AI-powered hybrid search in Spanner Feedly Summary: Search is at the heart of how we interact with the digital ecosystem, from online shopping to finding critical information. Enter generative AI, and user expectations are higher than ever. For applications to meet diverse user…
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Hacker News: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking
Source URL: https://www.pinecone.io/blog/cascading-retrieval/ Source: Hacker News Title: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking Feedly Summary: Comments AI Summary and Description: Yes Summary: Pinecone has introduced new cascading retrieval capabilities for AI search applications, enhancing the integration of dense and sparse retrieval systems. These advancements, which reportedly improve performance by up to…