Category: Generative AI (GenAI)
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Building Gen AI Applications with Couchbase Capella
Capella iQ reference architecture In the rapidly evolving landscape of Artificial Intelligence (AI), the integration of advanced database solutions with generative AI models represents a significant stride forward. This blog presents the architecture of…
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Couchbase a Key Technology at the Nordic Software AI Hackathon
Engaging with great developers to build adaptive applications Couchbase is a major tech partner with Cillers as they run hackathons in the Nordics and beyond. On August 20th we participated in the Nordic Software…
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Couchbase Shell (cbsh) Reaches v1.0: Unlocking the Power of Vector Search & Beyond
We are thrilled to announce the General Availability (GA) of Couchbase Shell (cbsh), a powerful command-line tool built on top of nushell designed to make your interactions with Couchbase easier and more efficient. Couchbase…
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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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Vector Search at the Edge with Couchbase Mobile
We’re pleased to announce the release of Couchbase Lite 3.2 with support for vector search. This launch follows the coattails of vector search support on Capella and Couchbase Server 7.6. Now, with vector search…
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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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Natural Language Programming: Applications and Benefits
What is Natural Language Programming? Natural language programming (NLP) is a form of programming where the instructions are written in human language, typically English. This approach makes writing code more intuitive and accessible to…
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A Step-by-Step Guide to Preparing Data for Retrieval-Augmented Generation (RAG)
In today’s data-driven world, the ability to efficiently gather and prepare data is crucial for the success of any application. Whether you’re developing a chatbot, a recommendation system, or any AI-driven solution, the quality…
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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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Couchbase Study: Financial Services Organizations Ramp Up for GenAI Despite Infrastructure Concerns
The financial services sector is poised for a major transformation with generative AI (GenAI). When it comes to managing finances, today’s consumers and businesses expect fast, convenient, and personalized services at their fingertips. But…
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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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Enhancing GenAI for Privacy and Performance: The Future of Personalized AI with Edge Vector Databases
The evolution of Generative AI (GenAI) is marked by a significant transition from model development to application development. As these AI models mature, the focus shifts to integrating them into real-world applications, bringing about…