작가
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Smarter Search With Graph Queries on Document Data
For decades, developers have faced a frustrating trade-off: choose the flexibility and scalability of a document database, or choose the rich relationship modeling of a graph database. To build applications that required both –…
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카우치베이스(Couchbase)로 머신러닝(ML) 애플리케이션의 성능 극대화하기
다음과 같은 상황을 상상해 보세요. 여러분은 핀테크 기업의 개발자이고, 사용자 중 한 명이 $1,000에 대한 해외 거래 승인을 했는지 묻는 알림을 받았습니다. 당황하기보다는,…
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Build Performant RAG Applications Using Couchbase Vector Search and Amazon Bedrock
Generative AI (GenAI) has the potential to automate work activities that currently occupy 60 to 70 percent of employees’ time, leading to substantial productivity gains across various industries. However, a General Purpose (GP) LLM’s…
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NVIDIA NIM/NeMo 및 LangChain을 활용한 Couchbase 기반 RAG AI 애플리케이션 가속화
Today, we’re excited to announce our new integration with NVIDIA NIM/NeMo. In this blog post, we present a solution concept of an interactive chatbot based on a Retrieval Augmented Generation (RAG) architecture with Couchbase Capella…
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Develop Performant RAG Apps With Couchbase and Vectorize
For technology leaders and developers, the process of integrating rich, proprietary data into generative AI applications is often filled with challenges. Vector similarity search and retrieval augmented generation are powerful tools to help with…