[카테고리:] 검색
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Semantic Search vs. Keyword Search: What’s the Difference?
When you search for something online, you expect the search engine to understand what you mean, not just what you type. You want it to grasp the context, the nuance, and the intent behind…
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더 스마트한 에이전트 구축: 벡터 검색이 시맨틱 인텔리전스를 구동하는 방법
정보를 검색하고 상호작용하는 방식은 지난 10년 동안 극적으로 변화했습니다. 전통적인 키워드 기반 검색 엔진은 과거에 문서나 답변을 찾는 데 큰 도움이 되었지만, 오늘날의 비즈니스 과제는 훨씬 더 많은 것을 요구합니다…
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Introducing Couchbase as a Vector Store in Agno
We’re excited to announce that Couchbase is now supported as a vector store in Agno. This integration brings together the best of Agno’s agent orchestration capabilities and Couchbase’s high-performance, scalable vector store. It allows…
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Semantic Similarity with Focused Selectivity
Why does semantic search need selectivity? Up until now, we’ve viewed a vector embedding as a complete, stand-alone entity – focused entirely on the meaning it encodes. While this enables semantic search, often with…
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벡터 검색으로 품질 관리의 비밀 풀기
벡터 검색을 이용한 애플리케이션을 직접 개발하지 않더라도, 일상에서 벡터 검색을 접하게 될 가능성이 높습니다. 이전에 좋아요를 누른 콘텐츠를 바탕으로 콘텐츠 추천을 찾아내는 것이 벡터의 흔한 활용 사례 중 하나입니다...
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Couchbase Mobile과 Google GenAI로 리테일 경험 혁신하기
맞춤형으로 제작된 듯한 경험을 선사하는 소매 매장에 들어간다고 상상해 보세요. 통로를 거니는 동안 디지털 디스플레이가 고객의 선호도에 맞춘 프로모션과 맞춤형 추천을 보여줍니다. 결제는...
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Transforming Retail Experiences with Couchbase Mobile and Google GenAI
Imagine, you walk into a retail store and the experience feels tailored just for you. Browsing through the aisles, digital displays showcase personalized promotions and recommendations based on your preferences. Checking out is seamless,…
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Enhancing Performance Using XATTRs for Vector Storage and Search
With the introduction of vector search, users can now store large vector arrays—often made up of seemingly arbitrary numbers—within their documents. Since this data isn’t required for most standard queries, users can now leverage…
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Get Started With Couchbase Vector Search In 5 Minutes
What is a Vector A Vector is an object that represents a real-world item as an array of floating numbers. Each item in the real world is represented in Vector format(as an array) and…
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Querying Vectors And Things That Can Go Wrong With Them
Couchbase 7.6 introduces Vector Search into the Couchbase architecture, expanding its search capabilities by leaps and bounds. This article showcases how this affects search queries, how we have to adapt in certain situations and…
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Hybrid Search: An Overview
What Is Hybrid Search? Hybrid search typically refers to a search approach that combines multiple search methodologies or technologies to provide more comprehensive and accurate results. In the context of information retrieval, hybrid search…
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Twitter Thread tl;dr With AI? Part 2
In part 1 we saw how to scrape Twitter, turn tweets in JSON documents, get an embedding representation of that tweet, store everything in Couchbase and how to run a vector search. These are…