Tag: keyword matching
-
Cloud Blog: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI
Source URL: https://cloud.google.com/blog/topics/retail/from-query-to-cart-inside-targets-search-bar-overhaul-with-alloydb-ai/ Source: Cloud Blog Title: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI Feedly Summary: Editor’s note: Target set out to modernize its digital search experience to better match guest expectations and support more intuitive discovery across millions of products. To meet that challenge, they rebuilt their platform with…
-
Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…
-
Cloud Blog: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gartner-magic-quadrant-for-search-and-product-discovery/ Source: Cloud Blog Title: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery Feedly Summary: We’re thrilled to announce that Google has been named a Leader in the Gartner® Magic Quadrant™ for Search and Product Discovery. We believe this recognition affirms Google’s evolving commitment to delivering…
-
Hamel’s Blog: LLM Eval FAQ
Source URL: https://hamel.dev/blog/posts/evals-faq/ Source: Hamel’s Blog Title: LLM Eval FAQ Feedly Summary: Our Course On AI Evals I’m teaching a course on AI Evals with Shreya Shankar. Here are some of the most common questions we’ve been asked. We’ll be updating this list frequently. Q: Is RAG dead? Question: Should I avoid using RAG for…
-
Simon Willison’s Weblog: llm-sort
Source URL: https://simonwillison.net/2025/Feb/11/llm-sort/ Source: Simon Willison’s Weblog Title: llm-sort Feedly Summary: llm-sort Delightful LLM plugin by Evangelos Lamprou which adds the ability to perform “semantic search" – allowing you to sort the contents of a file based on using a prompt against an LLM to determine sort order. Best illustrated by these examples from the…
-
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.…
-
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…
-
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…
-
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…