Quest

Quest 3 - Creating a RAG Chabot using Taipy

Back to Campaign
Join us on Discord
STATUS Past
TOTAL REWARDS
$1,400
REWARD AMOUNT
$2
STARTS (GMT +08:00)
ENDS (GMT +08:00)

Learning Outcomes

At the end of your learning, you will be able to:

  • Understand the fundamentals of Taipy, LangChain, and LLM-based retrieval.
  • Implement data workflows and orchestrate chatbot components efficiently.
  • Design user-friendly, dynamic graphical interfaces with Taipy’s GUI components.
  • Integrate real-world data sources into your chatbot for enhanced functionality.
  • Build a robust RAG-based chatbot capable of handling user queries.

Quest Details

Introduction

Now that you have learnt the basics of Taipy, it's time to create an interactive, intelligent chatbot that combines Retrieval-Augmented Generation (RAG) principles with powerful tools like Taipy, LangChain, and Google's Gemini LLM. The chatbot will enable real-time querying of a StackUp FAQ dataset, providing precise and contextual responses.

For technical help on the StackUp platform & quest-related questions, join our Discord, head to the 🆘 | quest-help-forum channel and look for the correct thread to ask your question.

Deliverables

This quest has 1 deliverable.

  1. Screenshot

This quest is part of a campaign so do check out other quests!

More Quests
Help Center Need help?

Find articles to support you through your journey or chat with our support team.

Help Center