Categoría: Best Practices and Tutorials
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Couchbase Integration with Hyperledger Fabric: A Technical Deep Dive
What is Couchbase? Couchbase is a distributed NoSQL document database that provides a flexible, high-performance, and scalable data management solution. It combines the best features of document databases with key-value stores, making it well-suited…
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Vector Database vs. Graph Database: Differences & Similarities
What is a vector database? A vector database is a type of database designed to store, index, and search high-dimensional vector representations of data, typically generated by machine learning models. These vectors, also known…
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What is Real-Time Data? Types, Benefits, and Limitations
What does real-time data mean? Real-time data refers to data that is processed and made available with minimal latency, typically within milliseconds or seconds of creation. It enables systems to react to events as…
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Optimizing TCO: Automate Cluster Hibernation Using Terraform
Couchbase Capella’s Cluster On/Off feature allows users to pause and resume their clusters seamlessly, without permanently deleting the data, helping optimise cloud expenses and improve operational efficiency. In this blog, we’ll explore how this…
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A Comprehensive Guide to Federated Learning
What is federated learning? Federated learning is a machine learning (ML) approach that enables multiple devices or systems to train a shared model collaboratively without exchanging raw data. Instead of sending data to a…
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Semantic Similarity with Focused Selectivity
Why does semantic search need selectivity? Up until now, we’ve viewed a vector embedding as a complete, stand-alone entity – focused entirely on the meaning it encodes. While this enables semantic search, often with…
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Migrate from Capella Free Tier to a Paid Account in 4 Steps
What is the Capella free tier? Couchbase Capella offers a free tier product with a perpetual, no-cost environment for users to explore and experience the capabilities of Couchbase’s NoSQL database platform. This free tier…
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The Importance of Data Preprocessing in Machine Learning (ML)
Data preprocessing is a vital step in machine learning that transforms raw, messy data into a clean and structured format for model training. It involves cleaning, transforming, encoding, and splitting data to improve model…
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Introducing Couchbase as a Vector Store in Flowise
We’re excited to announce that Couchbase is now officially supported as a vector store in Flowise, providing users with a powerful, high-performance solution for managing and retrieving vector data. This new integration combines Flowise’s…
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Supercharge Machine Learning (ML) Applications with Couchbase
Consider this scenario – you are a developer at a fintech company, and one of your users is notified to ask whether they had authorized an international transaction for $1,000. Instead of getting alarmed,…
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How to Ensure Data Integrity for NoSQL Systems
What is data integrity? Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains correct and unaltered as it’s created, stored, transmitted, and modified. In…
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Effortlessly Migrate 300k+ Hugging Face Datasets into Couchbase with the IDE Plugin and CLI
Migrating large, complex datasets from Hugging Face to Couchbase just got easier. Whether you prefer working from the command line or within your favorite IDE, our new Hugging Face to Couchbase migration toolkit—featuring the…