Categoría: Best Practices and Tutorials
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A New Model for Polyglot Distributed Apps with wasmCloud
Distributed application development has evolved rapidly over the last decade. What began as simple service-to-service communication has grown into complex webs of microservices spanning data centers, cloud environments, Kubernetes clusters, and increasingly, edge devices.…
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Announcing the General Availability of the Couchbase EF Core Provider
The Couchbase EF Core Provider is now generally available. This release brings the power of Entity Framework Core to Couchbase, allowing .NET developers to work with Couchbase using familiar EF Core patterns. What is…
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Couchbase Partners with Arize AI to Enable Trustworthy, Production-Ready AI Agent Applications
As enterprises look to deploy production-ready AI agent applications, Large Language Model (LLM) observability has emerged as a critical requirement for ensuring both performance and trust. Organizations need visibility into how agents interact with…
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Data Migration: Strategy, Best Practices & Tools
Data migration involves transferring data between systems, formats, or storage locations, often during system upgrades or cloud transitions. Types of data migration include storage, database, application, and cloud migration, and strategies include big bang,…
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Ensuring High Availability with Automatic Failover for App Services
In modern applications, continuous connectivity is key—especially for mobile apps relying on backend services. In this blog, we’ll walk through a Python-based solution that monitors the health of your app service servers and automatically…
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Self-Hosted AI Chatbots with Docker and Couchbase Capella
AI chatbots have become an essential tool for businesses and organizations. But most chatbot solutions depend on cloud-based models that introduce latency, API limitations, and perhaps most importantly, privacy concerns. What if you could…
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MongoDB to Couchbase – Migrations Tips
So you are considering moving from MongoDB to Couchbase. We think that is a great idea, but we get it, you want to know how much work it will be and is it worth…
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Build Highly Scalable AI/ML Applications With Couchbase and PySpark
We are excited to announce the General Availability (GA) of the Python support for Couchbase Spark Connector, bringing first-class integration between Couchbase Server and Apache Spark to Python data engineers. This GA release means…
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Build Your First Open Source AI Agent with Couchbase
If 2024 was the year of AI chatbots, then 2025 is the year of AI agents. At first glance, they may seem similar, but nothing could be farther from the truth. While you may…
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Extending RAG capabilities to Excel with Couchbase, LLamaIndex, and Amazon Bedrock
As everything around us is gradually becoming more data-driven, Excel is still integral for businesses, providing the capability to provide invaluable insights from the data in the sheets. However, data scientists and analysts agree…
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Chat With Your Git History, Thanks to RAG and Couchbase Shell
Don’t you love reading other people’s commit messages? No? Well, I do and as I was reading a very insightful commit message, I realized all the untapped content living in various Git logs (assuming…
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A Guide to LLM Embeddings
LLM embeddings are numerical representations of words, sentences, or other data that capture semantic meaning, enabling efficient text processing, similarity search, and retrieval in AI applications. They are generated through neural network transformations, particularly…