Join this online live build to create a simple RAG (Retrieval-Augmented Generation) chatbot that answers questions about the Building AI Application Challenge—using the official challenge content as its knowledge base.

We’ll copy the challenge details into a text file, index it with LlamaIndex, generate grounded answers via an LLM API (LLM/API Integration path), and ship a clean Q&A UI using Gradio. You’ll leave with a working template you can reuse for any document-based assistant.

You’ll build:

• challenge_context.txt → indexed knowledge base (LlamaIndex)
• RAG Q&A flow (retrieve → answer with LLM API)
• Gradio web UI (+ optional sources)

Best for: Challenge participants, beginners, and anyone who wants an end-to-end RAG demo fast.
Prereqs: Python basics + an LLM API key (OpenAI/Bedrock/etc.).