World’s first democratic retrieval relevance framework to comprehend semantic, multimodal and multilingual searches, in the most cost-effective, scalable & secure manner, creating an efficient question-answering system fueled by LLMs & SearchUnifyFRAG
Mountain View, CA | July 30, 2024 – SearchUnify, a leading provider of cognitive search and AI-powered solutions, today announced the launch of SearchUnify Contextual Relevance Engine (SCORE) Framework, a groundbreaking approach to neural search that combines the precision of keyword search with the contextual understanding of semantic search. This innovative approach enables businesses to deliver highly relevant and personalized search experiences, empowering users to find the information they need quickly and easily.
Traditional hybrid search approaches often struggle to balance the strengths of keyword and semantic search, resulting in either limited recall or compromised precision. SCORE overcomes these challenges by incorporating a unique combination of techniques, including:
Intelligent Reranking: SCORE goes beyond simply retrieving top-k matches by reranking all retrieved content based on a score indicating semantic relevance to the query. This ensures that the most relevant results are always presented to the user, even if they fall outside the initial top-k set.
Semantic Tuning Model: SCORE employs a sophisticated semantic tuning model that incorporates customer and use case inputs to fine-tune search relevance. This model leverages a variety of factors, including keywords, content sources, user behavior, synonyms, historical click-throughs, solved vs. unsolved discussions, and page ratings, to deliver highly tailored search results.
Flexible Semantic Ratio Control: SCORE provides businesses with complete control over the balance between BM25 search and semantic search. This automatically customizes search results to span anywhere from purely keyword-based to entirely semantic, depending on users’ specific needs and requirements. This addresses the limitations of purely keyword-based or semantic searches by allowing for a tailored approach that leverages the strengths of both.
Holistic Engineering Approach: Unlike other solutions that focus on isolated optimization processes, SCORE takes a holistic engineering approach to hybrid search. This ensures that all stages of the search pipeline, from indexing and segmenting to retrieving and reranking, are optimized for maximum relevance and performance.
Going beyond retrieval, SCORE encompasses a comprehensive relevance framework that includes careful evaluation and iteration on the selection of optimal LLMs and LLM tools. This ensures a robust and adaptable system, capable of handling the nuances of semantic understanding and delivering highly accurate search results.
“We are thrilled to introduce SearchUnify Contextual Relevance Engine, which represents a significant leap forward in hybrid search technology,” said Vishal Sharma, CTO, SearchUnify. “SCORE empowers businesses to unlock the full potential of their content by delivering highly relevant and personalized search experiences that drive user engagement and satisfaction.”
“Our team has been laser-focused on solving the complexities of hybrid search, and I’m incredibly proud of the breakthrough we’ve achieved with the SearchUnify Contextual Relevance Engine. By combining advanced reranking techniques, a finely-tuned semantic understanding model, and unparalleled control over the keyword-semantic balance, we’re empowering businesses to unlock a level of search precision and personalization that was previously unimaginable.” – Taranjeet Singh, Principal Data Scientist at SearchUnify.
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About SearchUnify
SearchUnify is a unified search cognitive platform, by Grazitti Interactive, and is built on a machine learning and insights engine. The platform boasts a suite of AI-powered products, including Cognitive Search, SearchUnify Virtual Assistant (SUVA), Agent Helper, Knowledge Enabler (Knowbler), and Community Helper. Leading enterprises globally rely on SearchUnify for revolutionizing information discovery and elevating support outcomes.
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