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tutorial/markdown/nodejs/quickstart-mastra/mastra-couchbase-nextJS-tutorial.md

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# Building a RAG Application with Mastra and Couchbase: A Step-by-Step Tutorial
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This tutorial will guide you through building a complete Retrieval-Augmented Generation (RAG) application from scratch using Next.js, the Mastra AI framework, and Couchbase for vector search. We'll start by getting the pre-built application running and then break down how each part works so you can build it yourself.
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This tutorial will guide you through building a complete Retrieval-Augmented Generation (RAG) application from scratch using [Next.js](https://nextjs.org/), the [Mastra AI framework](https://mastra.ai/), and [Couchbase](https://www.couchbase.com/) for [vector search](https://www.couchbase.com/products/vector-search/). We'll start by getting the pre-built application running and then break down how each part works so you can build it yourself.
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## Part 1: Quick Start
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Before running, you need to configure your environment.
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1. **Couchbase:**
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* Sign up for a free Couchbase Capella account or run a local Couchbase cluster.
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* Sign up for a free [Couchbase Capella account](https://docs.couchbase.com/home/cloud.html) or run a [local Couchbase cluster](https://docs.couchbase.com/home/server.html).
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* Create a Bucket, Scope, and Collection. Note down the names.
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* Get your database credentials (connection string, username, and password).
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