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Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search
With so many LLMs coming out, a lot of companies are focusing on enhancing the inference speeds for large language models with specialized hardware and optimizations to be able to scale the inference capabilities…
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개념에서 코드로: Couchbase를 활용한 LLM + RAG
생성형 AI 기술은 확실히 2023년과 2024년의 트렌드 아이템이며, 자체적인 연례 기술 레이더 및 트렌드 보고서를 발행하는 티칼(Tikal)에서 일하는 저로서는 LLM과 생성형 AI가 저의…를 비껴가지 않았습니다.
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New Couchbase Capella Advancements Fuel Development
Today we are pleased to announce three major advancements for Capella, the cloud database platform for modern applications, including GenAI, vector search, and mobile application services. First, the general availability of Capella Columnar, which…
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Build Faster and Cheaper LLM Apps With Couchbase and LangChain
New Standard, Semantic and Conversational Cache With LangChain Integration In the rapidly evolving landscape of AI application development, integrating large language models (LLMs) with enterprise data sources has become a critical focus. The ability…
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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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Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain
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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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…