We built space-inspired apps using Couchbase Capella that made satellite tracking more accessible and launch new possibilities for space technology.
Build a travel agent chatbot with n8n and Couchbase Vector Search using semantic search and workflow automation.
Real-time data is information that is collected, processed, and delivered immediately or within milliseconds of being generated. Learn more about it here.
Couchbase powers the applications shaping our daily lives - from mobile field service to global travel, from hospitals to stadiums. Read on for the latest updates.
Cut cloud costs with Couchbase Capella’s Cluster On/Off feature. Learn how to automate hibernation schedules using Terraform in this step-by-step guide.
With Model Context Protocol, Agent Communication Protocol and Agent to Agent Protocol signals a new era where agents can effectively collaborate.
Epidata can now harness Couchbase's top-tier technology to craft even more robust and scalable solutions for their clients
In this blog, we explore how Couchbase’s vector store, when integrated with AWS Bedrock, creates a powerful, scalable, and cost-effective AI solution.
Federated learning is an approach to machine learning that enables data privacy and security by training models across decentralized devices.
Migrate from Couchbase Capella’s free tier to a paid plan in 4 steps. Back up your data, restore it to a new cluster, and keep your application running smoothly.
Learn about the importance of data preprocessing in machine learning, the techniques you should use, and the steps involved in the process.
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.