#search-technology News & Analysis

4 articles tagged with #search-technology. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

AIBullisharXiv – CS AI · Mar 167/10

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Towards AI Search Paradigm

Researchers introduce the AI Search Paradigm, a comprehensive framework for next-generation search systems using four LLM-powered agents (Master, Planner, Executor, Writer) that collaborate to handle everything from simple queries to complex reasoning tasks. The system employs modular architecture with dynamic workflows for task planning, tool integration, and content synthesis to create more adaptive and scalable AI search capabilities.

AINeutralGoogle AI Blog · Feb 254/10

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See the whole picture and find the look with Circle to Search

Google has updated Circle to Search functionality to allow users to explore and analyze multiple items within a single image. This enhancement appears to focus on visual search and item identification capabilities.

AIBullishGoogle Research Blog · Oct 75/106

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​​Speech-to-Retrieval (S2R): A new approach to voice search

The article introduces Speech-to-Retrieval (S2R), a new technological approach that enhances voice search capabilities. This development represents an advancement in machine intelligence systems for processing and retrieving information through voice commands.

AIBullishGoogle Research Blog · Jun 254/106

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MUVERA: Making multi-vector retrieval as fast as single-vector search

MUVERA is a new algorithm that optimizes multi-vector retrieval systems to achieve performance speeds comparable to single-vector search methods. This represents a significant technical advancement in information retrieval and search algorithms, potentially improving efficiency for AI applications that rely on complex vector-based searches.