Category: Artificial Intelligence (AI)
Build Faster and Cheaper LLM Apps With Couchbase and LangChain
The LangChain-Couchbase package integrates Couchbase's vector search, semantic cache, conversational cache for generative AI workflows.
Edge AI and the Role of the Database
Edge AI utilizes AI applications on edge devices to enable real-time data processing locally. Learn all about edge AI and the role databases play here.
Unlock Hyper-personalization With AI-Driven Adaptive Apps
To create personal, ultra-responsive experiences that users expect, your data architecture must be able to adapt dynamically to their preferences.
Couchbase Study: Financial Services Organizations Ramp Up for GenAI Despite Infrastructure Concerns
The study showed that while there’s a significant push toward AI investment and IT modernization, financial services orgs infrastructure challenges and concerns.
Get Started With Couchbase Vector Search In 5 Minutes
Vector search and full-text search are both methods used for searching through collections of data, but they operate in different ways and are suited to different types of data and use cases.
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.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- What are Embedding Models? An Overview
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- Application Development Life Cycle (Phases and Management Models)
- What Is Data Analysis? Types, Methods, and Tools for Research
- App Development Costs (A Breakdown)
- Data Normalization vs. Denormalization Comparison
- What are Vector Embeddings?
- The Importance of Data Preprocessing in Machine Learning (ML)
