Category: Couchbase Capella
Supercharge Machine Learning (ML) Applications with Couchbase
To accelerate the development of ML applications, we recently announced ways to leverage Capella as both an online and offline feature store in one platform.
ICYMI: Couchbase Accelerates Innovation From AI to Edge With Latest Releases
ICYMI: Couchbase boosts AI and edge innovation with NVIDIA NIM integration and a new lightweight Edge Server for offline, high-performance apps.
Effortlessly Migrate 300k+ Hugging Face Datasets into Couchbase with the IDE Plugin and CLI
Migrate datasets from Hugging Face to Couchbase quickly using CLI or VS Code extension. Streamline developer workflows with secure, flexible tools.
Introducing Model Context Protocol (MCP) Server for Couchbase
Introducing Couchbase MCP Server: an open-source solution to power AI agents and GenAI apps with real-time access to your Couchbase data.
Announcing the General Availability of the Couchbase EF Core Provider
The Couchbase EF Core Provider is now generally available, bringing seamless integration between Couchbase and Entity Framework Core.
Replacing MongoDB Realm? Offline-First App Use Cases with Couchbase Mobile
MongoDB Realm EOL? Couchbase Mobile is your offline-first alternative with sync, edge-ready DBs, and vector search. See how it fits your stack!
Ensuring High Availability with Automatic Failover for App Services
Boost app reliability with Python-based automatic failover. Monitor server health and switch WebSocket connections seamlessly to keep users connected.
Conheça o Couchbase Edge Server: O banco de dados offline-first otimizado para a borda, mesmo em ambientes com recursos limitados
Couchbase Edge Server: dados locais, sincronização offline-first e acesso RESTful para apps de ponta com poucos recursos.
MongoDB to Couchbase – Migrations Tips
Moving from MongoDB to Couchbase? This guide covers everything you need to know— benefits, migration strategies, query conversion & post-migration tuning.
Build Highly Scalable AI/ML Applications With Couchbase and PySpark
Couchbase Spark Connector now supports PySpark! Build fast, scalable data pipelines and ML apps with Couchbase and Apache Spark in Python.
Extending RAG capabilities to Excel with Couchbase, LLamaIndex, and Amazon Bedrock
Extend Retrieval Augmented Generation (RAG) capabilities to Excel using Couchbase, LlamaIndex, and Amazon Bedrock. Make spreadsheets searchable.
The Dawn of a New Cloud Cycle
Is the cloud shifting back to on-prem? Explore the next cloud cycle, driven by AI, open source, and edge computing.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Vector Embeddings?
- Six Types of Data Models (With Examples)
- Application Development Life Cycle (Phases and Management Models)
- What are Embedding Models? An Overview
- What Is Data Analysis? Types, Methods, and Tools for Research
- Optimizing Multi-Agent AI Systems With Couchbase
- Semantic Search vs. Keyword Search: What’s the Difference?
