Added tutorial for mastra

[VirajAgarwal1]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @VirajAgarwal1, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request adds a new tutorial document that provides a detailed guide for developers looking to build RAG applications. It covers setting up the necessary environment, understanding the architecture using Mastra and Couchbase, and implementing the full RAG workflow from document ingestion to query response.

Highlights

• New Tutorial Added: Introduced a comprehensive step-by-step tutorial guiding users on building a Retrieval-Augmented Generation (RAG) application using Next.js, the Mastra AI framework, and Couchbase for vector search.
• Quick Start Guide: Includes instructions for quickly cloning and running a pre-built example application to demonstrate the final result.
• Detailed Breakdown: Explains the core components of the RAG application, including setting up Mastra agents and tools, integrating Couchbase as a vector store, understanding the ingestion and retrieval/generation pipeline, and the Next.js frontend integration.
• Couchbase Integration: Highlights the use of Couchbase for storing vector embeddings and performing vector search, including details on connection management and automatic index creation.

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[gemini-code-assist]

Code Review

This pull request introduces a new tutorial for building a RAG application with Mastra and Couchbase. The tutorial is well-structured and covers the key aspects from setup to frontend integration. The feedback provided aims to enhance clarity, completeness, and correctness of the code examples and explanations, ensuring a smoother experience for users following the guide. Key areas for improvement include providing more context for configuration variables, completing partial code snippets, and ensuring consistency in naming and numbering.

[lokesh-couchbase]

Add backlinks in tutorial wherever possible. Checkout other tutorials. Add links to mastra docs, cb docs, dev portal tutorials etc.

[lokesh-couchbase]

for chat interface, can we use pic with ques and answer also present?