Category: Artificial Intelligence (AI)
Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain
Develop an interactive GenAI application with grounded and relevant responses using Couchbase Capella-based RAG and accelerate it using NVIDIA NIM/NeMo
Artificial Intelligence in Retail Banking and the Financial Services Industry
Numerous Couchbase customers, across a wide range of industries, are planning to utilize AI in their businesses to create a better experience for their customers.
Enhancing GenAI for Privacy and Performance: The Future of Personalized AI with Edge Vector Databases
This article focuses on the Centralized vs. Edge Compute paradigm, exploring why a cloud to edge database with vector capability will best address challenges on data privacy, performance, and cost-effectiveness
Develop Performant RAG Apps With Couchbase and Vectorize
The teams at Couchbase and Vectorize have been working hard to bring the power of Vectorize experiments to Couchbase Capella.
How Adaptive Applications Unlock Innovation in a New AI Age
Adaptive apps use AI to intelligently, dynamically and automatically adapt to changing circumstances and users’ preferences.
Elevating Remote Development: Couchbase VSCode Extension Now Supports GitHub Codespaces, Google Project IDX, And More
We're thrilled to announce a significant update to our Couchbase VSCode Extension, now with support for GitHub Codespaces and other remote development environments.
Couchbase Capella™ Wins Two Awards in the 2024 Stevie American Business Awards
Couchbase recently introduced vector search in Capella to help organizations bring to market a new class of applications that are adaptive and engage users in a hyper-personalized, contextualized way.
Cloud Databases Are in Their AI Era: Celebrating National Cloud Database Day
As GenAI becomes more mainstream with the help of ChatGPT and other large language models (LLMs), its potential is captivating enterprises and consumers.
Querying Vectors And Things That Can Go Wrong With Them
For the best vector searches, you need to be aware of slow queries caused by inefficient indexes, inefficient queries or frequently changing data, etc.
Hybrid Search: An Overview
This blog post breaks down what hybrid search is and how it works. Learn how Couchbase can help you incorporate it (and its benefits) into your applications.
Building Real-world AI Applications at the Beeloud and Build 2024 AI Hackathon
For this event, 200+ people gathered in Vancouver, London, and virtually around the world - including developers, architects, designers, product managers, and product marketers.
Delivering Customer-Oriented AI Applications
Customer 360 applications, often built on NoSQL database and AI tech, go by many names: single view, golden record, source of truth, and more - all make reference to having a 360-degree view of the customer to provide meaningful, timely, and engaging customer insight.
Top Posts
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- Data Modeling Explained: Conceptual, Physical, Logical
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- Application Development Life Cycle (Phases and Management Models)
- Six Types of Data Models (With Examples)
- What Is Data Analysis? Types, Methods, and Tools for Research
- Using OnDeploy in Couchbase Eventing to Gate Mutations With Pre-F...
- Capella AI Services: Build Enterprise-Grade Agents