quest.yml

id: couchbase_capella_onboarding_part2
title: Couchbase Capella Onboarding - Part 2
subtitle: Build a RAG Application with Couchbase and Node.js
description: >-
  Welcome to Part 2 of the Couchbase Capella onboarding quest! This module builds upon the foundations set in Part 1 to create a Retrieval Augmented Generation (RAG) application.


  You'll integrate your existing Couchbase cluster, vector embeddings, and vector search index into a React frontend and Node.js backend application.


  Learn to use Couchbase Capella's capabilities for vector similarity search and augmented query responses.


  By the end, you'll have a fully functional RAG application, showcasing Couchbase's potential in modern AI-driven applications.
level: advanced
duration: 2.0
skills:
  - vector search integration
  - RAG application design
  - react
  - nodejs
  - couchbase capella
steps:
  - setup_react_frontend
  - setup_nodejs_backend
  - integrate_capella_vector_search
  - integrate_openai_for_rag
  - run_and_test_application
  - quiz_rag_concepts
  - open_question_rag_optimization
type: MODULE
repository: https://github.com/hummusonrails/vector-search-nodejs-workshop-part-2
frameworks:
  frontend:
    - react
  backend:
    - node
sidebarTools:
  - name: Couchbase
    link: https://cloud.couchbase.com/