Category: Vector Search
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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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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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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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Announcing General Availability of the C++ SDK for Couchbase
We are thrilled to announce the General Availability (GA) of the C++ SDK for Couchbase! This release adds support for native C++ language to our existing comprehensive set of SDK libraries in 11 programming…
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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…
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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…
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How Adaptive Applications Unlock Innovation in a New AI Age
We stand on the verge of a generative AI (GenAI) revolution. Some 98% of organizations have specific GenAI goals for 2024 — accounting for nearly a third of digital modernization spend last year and…