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How to Clone Couchbase Clusters for CI/CD On-Demand Ephemeral Environments
We share scripts and a practical approach to clone all buckets of a cluster, a specific bucket, scope, or collection, from one Couchbase cluster to another.
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.
Chat With Your Git History, Thanks to RAG and Couchbase Shell
Turn your Git history into a chat-ready knowledge base using RAG and Couchbase Shell.
Graph Time Series Data From the Comfort of Your Terminal
Learn to manage and analyze time series data with Couchbase Shell, from ingestion to visualization using global temperature datasets.
PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell
Explore how to create a PDF-based RAG pipeline using Couchbase Shell, making AI workflows simpler and more efficient with step-by-step guidance.
Testing Couchbase with GitHub Actions and CBSH
Automate Couchbase connection tests in GitHub Actions using environment variables, secrets and Couchbase Shell, including set up steps.
Using Couchbase Shell to Transform and Write Data
See Couchbase Shell simplify data manipulation from VCards, transforming contact info into usable formats for effective marketing follow-ups.
Our Live Streaming Schedule for 2024
Check out our 2024 streaming schedule! Join our live coding sessions, tackle HacktoberFest GitHub issues, and master SaaS development with Couchbase.
Twitter Thread tl;dr With AI? Part 2
Build a Streamlit app that uses LangChain and Vector Search for JSON data taken from Twitter and indexed in Couchbase NoSQL database for interactive Chat.
Twitter Thread tl;dr With AI? Part 1
Discover how Couchbase Vector Search can enable RAG architecture through a real live example: summarizing a twitter thread with a LLM
Manage 429 RateLimit Errors with Spring WebClient
As usual, the interesting bit in stack traces is at the top. The error is 429 Too Many Requests, and the message says there is a 1 minute rate limit.
Managing Data Sprawl for Developers
Using a well architected Data Platform can save you lots of time, money, effort and headache. Because, in the end, you have less code to write and maintain.
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